Christos Faloutsos
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  2025 (2)
Spectro-Riemannian Graph Neural Networks. Grover, K.; Yu, H.; Song, X.; Zhu, Q.; Xie, H.; Ioannidis, V. N.; and Faloutsos, C. CoRR, abs/2502.00401. 2025.
Spectro-Riemannian Graph Neural Networks [link]Paper   doi   link   bibtex  
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection. Grover, K.; Gordon, G. J.; and Faloutsos, C. CoRR, abs/2502.08605. 2025.
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection [link]Paper   doi   link   bibtex  
  2024 (38)
A Flexible Forecasting Stack. Januschowski, T.; Wang, Y.; Gasthaus, J.; Rangapuram, S. S.; Turkmen, C.; Zschiegner, J.; Stella, L.; Bohlke-Schneider, M.; Maddix, D. C.; Benidis, K.; Alexandrov, A.; Faloutsos, C.; and Schelter, S. Proc. VLDB Endow., 17(12): 3883–3892. 2024.
A Flexible Forecasting Stack [pdf]Paper   doi   link   bibtex  
Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. Fang, X.; Xu, W.; Tan, F. A.; Hu, Z.; Zhang, J.; Qi, Y.; Sengamedu, S. H.; and Faloutsos, C. Trans. Mach. Learn. Res., 2024. 2024.
Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey [link]Paper   link   bibtex  
Correction to: TurboLift: fast accuracy lifting for historical data recovery. Yang, F.; Almutairi, F. M.; Song, H. A.; Faloutsos, C.; Sidiropoulos, N. D.; and Zadorozhny, V. VLDB J., 33(1): 253. 2024.
Correction to: TurboLift: fast accuracy lifting for historical data recovery [link]Paper   doi   link   bibtex  
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. Nair, P.; Liu, J.; Vajiac, C.; Olligschlaeger, A. M.; Chau, D. H.; Cazzolato, M. T.; Jones, C.; Faloutsos, C.; and Rabbany, R. In Wooldridge, M. J.; Dy, J. G.; and Natarajan, S., editor(s), Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, pages 22276–22284, 2024. AAAI Press
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking [link]Paper   doi   link   bibtex  
Revisit Orthogonality in Graph-Regularized MLPs. Zhang, H.; Wang, S.; Ioannidis, V. N.; Adeshina, S.; Zhang, J.; Qin, X.; Faloutsos, C.; Zheng, D.; Karypis, G.; and Yu, P. S. In Serra, E.; and Spezzano, F., editor(s), Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, pages 3145–3154, 2024. ACM
Revisit Orthogonality in Graph-Regularized MLPs [link]Paper   doi   link   bibtex  
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. Qiu, J.; Madotto, A.; Lin, Z.; Crook, P. A.; Xu, Y. E.; Damavandi, B.; Dong, X.; Faloutsos, C.; Li, L.; and Moon, S. In Al-Onaizan, Y.; Bansal, M.; and Chen, Y., editor(s), Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, pages 247–266, 2024. Association for Computational Linguistics
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM [link]Paper   link   bibtex  
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage. Mavromatis, C.; Srinivasan, B.; Shen, Z.; Zhang, J.; Rangwala, H.; Faloutsos, C.; and Karypis, G. In Al-Onaizan, Y.; Bansal, M.; and Chen, Y., editor(s), Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, pages 21268–21286, 2024. Association for Computational Linguistics
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage [link]Paper   link   bibtex  
Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets. Vinces, B. V. S.; Cordeiro, R. L. F.; and Faloutsos, C. In 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024, pages 1407–1420, 2024. IEEE
Mccatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets [link]Paper   doi   link   bibtex  
DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository?. Lou, Y.; Lei, C.; Qin, X.; Wang, Z.; Faloutsos, C.; Anubhai, R.; and Rangwala, H. In 40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024, pages 5170–5176, 2024. IEEE
DATALORE: Can a Large Language Model Find All Lost Scrolls in a Data Repository? [link]Paper   doi   link   bibtex  
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. Kong, K.; Zhang, J.; Shen, Z.; Srinivasan, B.; Lei, C.; Faloutsos, C.; Rangwala, H.; and Karypis, G. In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024. OpenReview.net
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners [link]Paper   link   bibtex  
NetInfoF Framework: Measuring and Exploiting Network Usable Information. Lee, M.; Yu, H.; Zhang, J.; Ioannidis, V. N.; Song, X.; Adeshina, S.; Zheng, D.; and Faloutsos, C. In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024. OpenReview.net
NetInfoF Framework: Measuring and Exploiting Network Usable Information [link]Paper   link   bibtex  
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. Zhang, H.; Zhang, J.; Shen, Z.; Srinivasan, B.; Qin, X.; Faloutsos, C.; Rangwala, H.; and Karypis, G. In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024. OpenReview.net
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space [link]Paper   link   bibtex  
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. Zheng, D.; Song, X.; Zhu, Q.; Zhang, J.; Vasiloudis, T.; Ma, R.; Zhang, H.; Wang, Z.; Adeshina, S.; Nisa, I.; Mottini, A.; Cui, Q.; Rangwala, H.; Zeng, B.; Faloutsos, C.; and Karypis, G. In Baeza-Yates, R.; and Bonchi, F., editor(s), Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, pages 6356–6367, 2024. ACM
GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications [link]Paper   doi   link   bibtex  
Graph Machine Learning Meets Multi-Table Relational Data. Gan, Q.; Wang, M.; Wipf, D.; and Faloutsos, C. In Baeza-Yates, R.; and Bonchi, F., editor(s), Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, pages 6502–6512, 2024. ACM
Graph Machine Learning Meets Multi-Table Relational Data [link]Paper   doi   link   bibtex  
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. Wang, M.; Gan, Q.; Wipf, D.; Zhang, Z.; Faloutsos, C.; Zhang, W.; Zhang, M.; Cai, Z.; Li, J.; Mao, Z.; Song, Y.; Tang, J.; Zhang, Y.; Yang, G.; Lei, C.; Qin, X.; Li, N.; Zhang, H.; Wang, Y.; and Zhang, Z. In Globersons, A.; Mackey, L.; Belgrave, D.; Fan, A.; Paquet, U.; Tomczak, J. M.; and Zhang, C., editor(s), Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024.
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs [link]Paper   link   bibtex  
DiffFind: Discovering Differential Equations from Time Series. Posam, L.; Shekhar, S.; Lee, M.; and Faloutsos, C. In Yang, D.; Xie, X.; Tseng, V. S.; Pei, J.; Huang, J.; and Lin, J. C., editor(s), Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI, volume 14650, of Lecture Notes in Computer Science, pages 175–187, 2024. Springer
DiffFind: Discovering Differential Equations from Time Series [link]Paper   doi   link   bibtex  
NETEFFECT: Discovery and Exploitation of Generalized Network Effects. Lee, M.; Shekhar, S.; Yoo, J.; and Faloutsos, C. In Yang, D.; Xie, X.; Tseng, V. S.; Pei, J.; Huang, J.; and Lin, J. C., editor(s), Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I, volume 14645, of Lecture Notes in Computer Science, pages 299–312, 2024. Springer
NETEFFECT: Discovery and Exploitation of Generalized Network Effects [link]Paper   doi   link   bibtex  
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series. Hossain, S.; Faloutsos, C.; Baer, B.; Kim, H.; and Tsotras, V. J. In Shekhar, S.; Papalexakis, V.; Gao, J.; Jiang, Z.; and Riondato, M., editor(s), Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024, pages 298–306, 2024. SIAM
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series [link]Paper   doi   link   bibtex  
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. Zhu, J.; Song, X.; Ioannidis, V. N.; Koutra, D.; and Faloutsos, C. In Yang, G. H.; Wang, H.; Han, S.; Hauff, C.; Zuccon, G.; and Zhang, Y., editor(s), Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, pages 2662–2666, 2024. ACM
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning [link]Paper   doi   link   bibtex  
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. Wang, M.; Gan, Q.; Wipf, D.; Cai, Z.; Li, N.; Tang, J.; Zhang, Y.; Zhang, Z.; Mao, Z.; Song, Y.; Wang, Y.; Li, J.; Zhang, H.; Yang, G.; Qin, X.; Lei, C.; Zhang, M.; Zhang, W.; Faloutsos, C.; and Zhang, Z. In Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, VLDB 2024, Guangzhou, China, August 26-30, 2024, 2024. VLDB.org
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs [pdf]Paper   link   bibtex  
NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features. Miyake, K.; Ito, H.; Faloutsos, C.; Matsumoto, H.; and Morishima, A. In Chua, T.; Ngo, C.; Kumar, R.; Lauw, H. W.; and Lee, R. K., editor(s), Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, pages 2542–2551, 2024. ACM
NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features [link]Paper   doi   link   bibtex  
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series. Hossain, S.; Faloutsos, C.; Baer, B.; Kim, H.; and Tsotras, V. J. CoRR, abs/2402.01902. 2024.
EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series [link]Paper   doi   link   bibtex  
NetInfoF Framework: Measuring and Exploiting Network Usable Information. Lee, M.; Yu, H.; Zhang, J.; Ioannidis, V. N.; Song, X.; Adeshina, S.; Zheng, D.; and Faloutsos, C. CoRR, abs/2402.07999. 2024.
NetInfoF Framework: Measuring and Exploiting Network Usable Information [link]Paper   doi   link   bibtex  
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners. Kong, K.; Zhang, J.; Shen, Z.; Srinivasan, B.; Lei, C.; Faloutsos, C.; Rangwala, H.; and Karypis, G. CoRR, abs/2402.14361. 2024.
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners [link]Paper   doi   link   bibtex  
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey. Fang, X.; Xu, W.; Tan, F. A.; Zhang, J.; Hu, Z.; Qi, Y.; Nickleach, S.; Socolinsky, D.; Sengamedu, S. H.; and Faloutsos, C. CoRR, abs/2402.17944. 2024.
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey [link]Paper   doi   link   bibtex  
Automatic Question-Answer Generation for Long-Tail Knowledge. Kumar, R.; Kim, Y.; Ravi, S.; Sun, H.; Faloutsos, C.; Salakhutdinov, R.; and Yoon, M. CoRR, abs/2403.01382. 2024.
Automatic Question-Answer Generation for Long-Tail Knowledge [link]Paper   doi   link   bibtex  
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. Qiu, J.; Madotto, A.; Lin, Z.; Crook, P. A.; Xu, Y. E.; Dong, X. L.; Faloutsos, C.; Li, L.; Damavandi, B.; and Moon, S. CoRR, abs/2403.04735. 2024.
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM [link]Paper   doi   link   bibtex  
OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories. Koutras, C.; Zhang, J.; Qin, X.; Lei, C.; Ioannidis, V.; Faloutsos, C.; Karypis, G.; and Katsifodimos, A. CoRR, abs/2403.07653. 2024.
OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories [link]Paper   doi   link   bibtex  
McCatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets. Vinces, B. V. S.; Cordeiro, R. L. F.; and Faloutsos, C. CoRR, abs/2403.08027. 2024.
McCatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets [link]Paper   doi   link   bibtex  
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition. Qiu, J.; Han, W.; Wang, W.; Yang, Z.; Li, L.; Wang, J.; Faloutsos, C.; Li, L.; and Wang, L. CoRR, abs/2403.12339. 2024.
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition [link]Paper   doi   link   bibtex  
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. Park, N.; Rossi, R. A.; Wang, X.; Simoulin, A.; Ahmed, N. K.; and Faloutsos, C. CoRR, abs/2404.01578. 2024.
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection [link]Paper   doi   link   bibtex  
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. Wang, M.; Gan, Q.; Wipf, D.; Cai, Z.; Li, N.; Tang, J.; Zhang, Y.; Zhang, Z.; Mao, Z.; Song, Y.; Wang, Y.; Li, J.; Zhang, H.; Yang, G.; Qin, X.; Lei, C.; Zhang, M.; Zhang, W.; Faloutsos, C.; and Zhang, Z. CoRR, abs/2404.18209. 2024.
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs [link]Paper   doi   link   bibtex  
Evaluating Durability: Benchmark Insights into Multimodal Watermarking. Qiu, J.; Han, W.; Zhao, X.; Long, S.; Faloutsos, C.; and Li, L. CoRR, abs/2406.03728. 2024.
Evaluating Durability: Benchmark Insights into Multimodal Watermarking [link]Paper   doi   link   bibtex  
GraphStorm: all-in-one graph machine learning framework for industry applications. Zheng, D.; Song, X.; Zhu, Q.; Zhang, J.; Vasiloudis, T.; Ma, R.; Zhang, H.; Wang, Z.; Adeshina, S.; Nisa, I.; Mottini, A.; Cui, Q.; Rangwala, H.; Zeng, B.; Faloutsos, C.; and Karypis, G. CoRR, abs/2406.06022. 2024.
GraphStorm: all-in-one graph machine learning framework for industry applications [link]Paper   doi   link   bibtex  
FeatNavigator: Automatic Feature Augmentation on Tabular Data. Liang, J.; Lei, C.; Qin, X.; Zhang, J.; Katsifodimos, A.; Faloutsos, C.; and Rangwala, H. CoRR, abs/2406.09534. 2024.
FeatNavigator: Automatic Feature Augmentation on Tabular Data [link]Paper   doi   link   bibtex  
Hierarchical Compression of Text-Rich Graphs via Large Language Models. Zhang, S.; Zheng, D.; Zhang, J.; Zhu, Q.; Song, X.; Adeshina, S.; Faloutsos, C.; Karypis, G.; and Sun, Y. CoRR, abs/2406.11884. 2024.
Hierarchical Compression of Text-Rich Graphs via Large Language Models [link]Paper   doi   link   bibtex  
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization. Masserano, L.; Ansari, A. F.; Han, B.; Zhang, X.; Faloutsos, C.; Mahoney, M. W.; Wilson, A. G.; Park, Y.; Rangapuram, S. S.; Maddix, D. C.; and Wang, Y. CoRR, abs/2412.05244. 2024.
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization [link]Paper   doi   link   bibtex  
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. Lee, M.; Zhu, Q.; Mavromatis, C.; Han, Z.; Adeshina, S.; Ioannidis, V. N.; Rangwala, H.; and Faloutsos, C. CoRR, abs/2412.16311. 2024.
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases [link]Paper   doi   link   bibtex  
  2023 (26)
\emphUSNAP: fast unique dense region detection and its application to lung cancer. Wong, S. W. H.; Pastrello, C.; Kotlyar, M.; Faloutsos, C.; and Jurisica, I. Bioinform., 39(8). 2023.
\emphUSNAP: fast unique dense region detection and its application to lung cancer [link]Paper   doi   link   bibtex  
Benefit-aware early prediction of health outcomes on multivariate EEG time series. Shekhar, S.; Eswaran, D.; Hooi, B.; Elmer, J.; Faloutsos, C.; and Akoglu, L. J. Biomed. Informatics, 139: 104296. 2023.
Benefit-aware early prediction of health outcomes on multivariate EEG time series [link]Paper   doi   link   bibtex  
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances. Paparrizos, J.; Wu, K.; Elmore, A. J.; Faloutsos, C.; and Franklin, M. J. Proc. VLDB Endow., 16(8): 2019–2032. 2023.
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances [pdf]Paper   doi   link   bibtex  
DeltaShield: Information Theory for Human- Trafficking Detection. Vajiac, C.; Lee, M.; Kulshrestha, A.; Levy, S.; Park, N.; Olligschlaeger, A. M.; Jones, C.; Rabbany, R.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 17(2): 28:1–28:27. 2023.
DeltaShield: Information Theory for Human- Trafficking Detection [link]Paper   doi   link   bibtex  
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. Vajiac, C.; Chau, D. H.; Olligschlaeger, A. M.; Mackenzie, R.; Nair, P.; Lee, M.; Li, Y.; Park, N.; Rabbany, R.; and Faloutsos, C. IEEE Trans. Vis. Comput. Graph., 29(1): 53–62. 2023.
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking [link]Paper   doi   link   bibtex  
ExplainFix: Explainable spatially fixed deep networks. Gaudio, A.; Faloutsos, C.; Smailagic, A.; Costa, P.; and Campilho, A. WIREs Data. Mining. Knowl. Discov., 13(2). 2023.
ExplainFix: Explainable spatially fixed deep networks [link]Paper   doi   link   bibtex  
\emphDeepFixCX: Explainable privacy-preserving image compression for medical image analysis. Gaudio, A.; Smailagic, A.; Faloutsos, C.; Mohan, S.; Johnson, E.; Liu, Y.; Costa, P.; and Campilho, A. WIREs Data. Mining. Knowl. Discov., 13(4). 2023.
\emphDeepFixCX: Explainable privacy-preserving image compression for medical image analysis [link]Paper   doi   link   bibtex  
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. Cazzolato, M. T.; Vijayakumar, S.; Zheng, X.; Park, N.; Lee, M.; Chau, D. H.; Fidalgo, P.; Lages, B.; Traina, A. J. M.; and Faloutsos, C. In Williams, B.; Chen, Y.; and Neville, J., editor(s), Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, pages 16410–16412, 2023. AAAI Press
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs [link]Paper   doi   link   bibtex  
Automatic Table Union Search with Tabular Representation Learning. Hu, X.; Wang, S.; Qin, X.; Lei, C.; Shen, Z.; Faloutsos, C.; Katsifodimos, A.; Karypis, G.; Wen, L.; and Yu, P. S. In Rogers, A.; Boyd-Graber, J. L.; and Okazaki, N., editor(s), Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, pages 3786–3800, 2023. Association for Computational Linguistics
Automatic Table Union Search with Tabular Representation Learning [link]Paper   doi   link   bibtex  
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. Huang, Z.; Wang, D.; Huang, B.; Zhang, C.; Shang, J.; Liang, Y.; Wang, Z.; Li, X.; Faloutsos, C.; Sun, Y.; and Wang, W. In Rogers, A.; Boyd-Graber, J. L.; and Okazaki, N., editor(s), Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, pages 10105–10118, 2023. Association for Computational Linguistics
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs [link]Paper   doi   link   bibtex  
Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. Cazzolato, M. T.; Gutierrez, M. A.; Traina, C.; Faloutsos, C.; and Traina, A. J. M. In Almeida, J. R.; Spiliopoulou, M.; Benítez-Andrades, J. A.; Placidi, G.; González, A. R.; Sicilia, R.; and Kane, B., editor(s), 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, L'Aquila, Italy, June 22-24, 2023, pages 117–122, 2023. IEEE
Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools [link]Paper   doi   link   bibtex  
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. Cazzolato, M. T.; Vijayakumar, S.; Lee, M.; Vajiac, C.; Park, N.; Fidalgo, P.; Traina, A. J. M.; and Faloutsos, C. In Frommholz, I.; Hopfgartner, F.; Lee, M.; Oakes, M.; Lalmas, M.; Zhang, M.; and Santos, R. L. T., editor(s), Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, pages 4509–4515, 2023. ACM
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs [link]Paper   doi   link   bibtex  
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. Park, N.; Rossi, R. A.; Ahmed, N. K.; and Faloutsos, C. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023. OpenReview.net
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning [link]Paper   link   bibtex  
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining. Yoo, J.; Lee, M.; Shekhar, S.; and Faloutsos, C. In Singh, A. K.; Sun, Y.; Akoglu, L.; Gunopulos, D.; Yan, X.; Kumar, R.; Ozcan, F.; and Ye, J., editor(s), Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, pages 3128–3139, 2023. ACM
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining [link]Paper   doi   link   bibtex  
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. Park, N.; Rossi, R. A.; Wang, X.; Simoulin, A.; Ahmed, N. K.; and Faloutsos, C. In Oh, A.; Naumann, T.; Globerson, A.; Saenko, K.; Hardt, M.; and Levine, S., editor(s), Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023.
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection [link]Paper   link   bibtex  
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. Mavromatis, C.; Ioannidis, V. N.; Wang, S.; Zheng, D.; Adeshina, S.; Ma, J.; Zhao, H.; Faloutsos, C.; and Karypis, G. In Koutra, D.; Plant, C.; Rodriguez, M. G.; Baralis, E.; and Bonchi, F., editor(s), Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III, volume 14171, of Lecture Notes in Computer Science, pages 157–173, 2023. Springer
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs [link]Paper   doi   link   bibtex  
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. Zhang, S.; Zhang, J.; Song, X.; Adeshina, S.; Zheng, D.; Faloutsos, C.; and Sun, Y. In Ding, Y.; Tang, J.; Sequeda, J. F.; Aroyo, L.; Castillo, C.; and Houben, G., editor(s), Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, pages 3784–3793, 2023. ACM
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction [link]Paper   doi   link   bibtex  
UltraProp: Principled and Explainable Propagation on Large Graphs. Lee, M.; Shekhar, S.; Yoo, J.; and Faloutsos, C. CoRR, abs/2301.00270. 2023.
UltraProp: Principled and Explainable Propagation on Large Graphs [link]Paper   doi   link   bibtex  
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. Zhang, H.; Wang, S.; Ioannidis, V. N.; Adeshina, S.; Zhang, J.; Qin, X.; Faloutsos, C.; Zheng, D.; Karypis, G.; and Yu, P. S. CoRR, abs/2302.00109. 2023.
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization [link]Paper   doi   link   bibtex  
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. Zhang, S.; Zhang, J.; Song, X.; Adeshina, S.; Zheng, D.; Faloutsos, C.; and Sun, Y. CoRR, abs/2302.12465. 2023.
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction [link]Paper   doi   link   bibtex  
ExplainFix: Explainable Spatially Fixed Deep Networks. Gaudio, A.; Faloutsos, C.; Smailagic, A.; Costa, P.; and Campilho, A. J. C. CoRR, abs/2303.10408. 2023.
ExplainFix: Explainable Spatially Fixed Deep Networks [link]Paper   doi   link   bibtex  
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs. Mavromatis, C.; Ioannidis, V. N.; Wang, S.; Zheng, D.; Adeshina, S.; Ma, J.; Zhao, H.; Faloutsos, C.; and Karypis, G. CoRR, abs/2304.10668. 2023.
Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs [link]Paper   doi   link   bibtex  
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. Huang, Z.; Wang, D.; Huang, B.; Zhang, C.; Shang, J.; Liang, Y.; Wang, Z.; Li, X.; Faloutsos, C.; Sun, Y.; and Wang, W. CoRR, abs/2307.01933. 2023.
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs [link]Paper   doi   link   bibtex  
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. Zhu, J.; Song, X.; Ioannidis, V. N.; Koutra, D.; and Faloutsos, C. CoRR, abs/2309.13885. 2023.
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning [link]Paper   doi   link   bibtex  
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. Zhang, H.; Zhang, J.; Srinivasan, B.; Shen, Z.; Qin, X.; Faloutsos, C.; Rangwala, H.; and Karypis, G. CoRR, abs/2310.09656. 2023.
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space [link]Paper   doi   link   bibtex  
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection. Mavromatis, C.; Srinivasan, B.; Shen, Z.; Zhang, J.; Rangwala, H.; Faloutsos, C.; and Karypis, G. CoRR, abs/2310.20046. 2023.
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection [link]Paper   doi   link   bibtex  
  2022 (24)
Autonomous graph mining algorithm search with best performance trade-off. Yoon, M.; Gervet, T.; Hooi, B.; and Faloutsos, C. Knowl. Inf. Syst., 64(6): 1571–1602. 2022.
Autonomous graph mining algorithm search with best performance trade-off [link]Paper   doi   link   bibtex  
Real-Time Anomaly Detection in Edge Streams. Bhatia, S.; Liu, R.; Hooi, B.; Yoon, M.; Shin, K.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 16(4): 75:1–75:22. 2022.
Real-Time Anomaly Detection in Edge Streams [link]Paper   doi   link   bibtex  
TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs. Dimitriadis, I.; Poiitis, M.; Faloutsos, C.; and Vakali, A. World Wide Web, 25(6): 2429–2453. 2022.
TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs [link]Paper   doi   link   bibtex  
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. Johnson, E.; Mohan, S.; Gaudio, A.; Smailagic, A.; Faloutsos, C.; and Campilho, A. In IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2022, Ioannina, Greece, September 27-30, 2022, pages 1–4, 2022. IEEE
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection [link]Paper   doi   link   bibtex  
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. Cazzolato, M. T.; Vijayakumar, S.; Zheng, X.; Park, N.; Lee, M.; Fidalgo, P.; Lages, B.; Traina, A. J. M.; and Faloutsos, C. In Tsumoto, S.; Ohsawa, Y.; Chen, L.; den Poel, D. V.; Hu, X.; Motomura, Y.; Takagi, T.; Wu, L.; Xie, Y.; Abe, A.; and Raghavan, V., editor(s), IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pages 2214–2217, 2022. IEEE
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs [link]Paper   doi   link   bibtex  
Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks. Fidalgo, P.; Lopes, R. J.; and Faloutsos, C. In Tsumoto, S.; Ohsawa, Y.; Chen, L.; den Poel, D. V.; Hu, X.; Motomura, Y.; Takagi, T.; Wu, L.; Xie, Y.; Abe, A.; and Raghavan, V., editor(s), IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pages 2239–2242, 2022. IEEE
Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks [link]Paper   doi   link   bibtex  
Nimble GNN Embedding with Tensor-Train Decomposition. Yin, C.; Zheng, D.; Nisa, I.; Faloutsos, C.; Karypis, G.; and Vuduc, R. W. In Zhang, A.; and Rangwala, H., editor(s), KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, pages 2327–2335, 2022. ACM
Nimble GNN Embedding with Tensor-Train Decomposition [link]Paper   doi   link   bibtex  
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. Dai, Z.; Ioannidis, V.; Adeshina, S.; Jost, Z.; Faloutsos, C.; and Karypis, G. In Rieck, B.; and Pascanu, R., editor(s), Learning on Graphs Conference, LoG 2022, 9-12 December 2022, Virtual Event, volume 198, of Proceedings of Machine Learning Research, pages 35, 2022. PMLR
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning [link]Paper   link   bibtex  
DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks. Ito, H.; and Faloutsos, C. In Banerjee, A.; Zhou, Z.; Papalexakis, E. E.; and Riondato, M., editor(s), Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022, pages 46–54, 2022. SIAM
DualCast: Friendship-Preference Co-evolution Forecasting for Attributed Networks [link]Paper   doi   link   bibtex  
Coarse-to-Fine Sparse Sequential Recommendation. Li, J.; Zhao, T.; Li, J.; Chan, J.; Faloutsos, C.; Karypis, G.; Pantel, S.; and McAuley, J. J. In Amigó, E.; Castells, P.; Gonzalo, J.; Carterette, B.; Culpepper, J. S.; and Kazai, G., editor(s), SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, pages 2082–2086, 2022. ACM
Coarse-to-Fine Sparse Sequential Recommendation [link]Paper   doi   link   bibtex  
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. Park, N.; Liu, F.; Mehta, P.; Cristofor, D.; Faloutsos, C.; and Dong, Y. In Candan, K. S.; Liu, H.; Akoglu, L.; Dong, X. L.; and Tang, J., editor(s), WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, pages 794–803, 2022. ACM
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs [link]Paper   doi   link   bibtex  
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. Nair, P.; Li, Y.; Vajiac, C.; Olligschlaeger, A. M.; Lee, M.; Park, N.; Chau, D. H.; Faloutsos, C.; and Rabbany, R. In Laforest, F.; Troncy, R.; Simperl, E.; Agarwal, D.; Gionis, A.; Herman, I.; and Médini, L., editor(s), Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022, pages 273–277, 2022. ACM
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking [link]Paper   doi   link   bibtex  
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. Park, N.; Rossi, R. A.; Koh, E.; Burhanuddin, I. A.; Kim, S.; Du, F.; Ahmed, N. K.; and Faloutsos, C. In Laforest, F.; Troncy, R.; Simperl, E.; Agarwal, D.; Gionis, A.; Herman, I.; and Médini, L., editor(s), WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, pages 1115–1126, 2022. ACM
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking [link]Paper   doi   link   bibtex  
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. Zhang, X.; Zhang, C.; Li, X.; Dong, X. L.; Shang, J.; Faloutsos, C.; and Han, J. In Laforest, F.; Troncy, R.; Simperl, E.; Agarwal, D.; Gionis, A.; Herman, I.; and Médini, L., editor(s), WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, pages 3153–3161, 2022. ACM
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision [link]Paper   doi   link   bibtex  
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. Park, N.; Liu, F.; Mehta, P.; Cristofor, D.; Faloutsos, C.; and Dong, Y. CoRR, abs/2202.07648. 2022.
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs [link]Paper   link   bibtex  
Coarse-to-Fine Sparse Sequential Recommendation. Li, J.; Zhao, T.; Li, J.; Chan, J.; Faloutsos, C.; Karypis, G.; Pantel, S.; and McAuley, J. J. CoRR, abs/2204.01839. 2022.
Coarse-to-Fine Sparse Sequential Recommendation [link]Paper   doi   link   bibtex  
CGC: Contrastive Graph Clustering for Community Detection and Tracking. Park, N.; Rossi, R. A.; Koh, E.; Burhanuddin, I. A.; Kim, S.; Du, F.; Ahmed, N. K.; and Faloutsos, C. CoRR, abs/2204.08504. 2022.
CGC: Contrastive Graph Clustering for Community Detection and Tracking [link]Paper   doi   link   bibtex  
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. Zhang, X.; Zhang, C.; Li, X.; Dong, X. L.; Shang, J.; Faloutsos, C.; and Han, J. CoRR, abs/2204.13874. 2022.
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision [link]Paper   doi   link   bibtex  
ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases. He, B.; Song, X.; Gao, V.; and Faloutsos, C. CoRR, abs/2205.12318. 2022.
ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases [link]Paper   doi   link   bibtex  
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. Dai, Z.; Ioannidis, V.; Adeshina, S.; Jost, Z.; Faloutsos, C.; and Karypis, G. CoRR, abs/2206.04255. 2022.
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning [link]Paper   doi   link   bibtex  
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. Park, N.; Rossi, R. A.; Ahmed, N. K.; and Faloutsos, C. CoRR, abs/2206.09280. 2022.
AutoGML: Fast Automatic Model Selection for Graph Machine Learning [link]Paper   doi   link   bibtex  
Nimble GNN Embedding with Tensor-Train Decomposition. Yin, C.; Zheng, D.; Nisa, I.; Faloutsos, C.; Karypis, G.; and Vuduc, R. W. CoRR, abs/2206.10581. 2022.
Nimble GNN Embedding with Tensor-Train Decomposition [link]Paper   doi   link   bibtex  
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection. Johnson, E.; Mohan, S.; Gaudio, A.; Smailagic, A.; Faloutsos, C.; and Campilho, A. CoRR, abs/2210.02241. 2022.
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly Detection [link]Paper   doi   link   bibtex  
SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success. Yoo, J.; Lee, M.; Shekhar, S.; and Faloutsos, C. CoRR, abs/2210.04081. 2022.
SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success [link]Paper   doi   link   bibtex  
  2021 (9)
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Feng, W.; Liu, S.; Faloutsos, C.; Hooi, B.; Shen, H.; and Cheng, X. Future Gener. Comput. Syst., 115: 236–250. 2021.
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection [link]Paper   doi   link   bibtex  
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams. Shin, K.; Lee, E.; Oh, J.; Hammoud, M.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 15(3): 38:1–38:30. 2021.
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams [link]Paper   doi   link   bibtex  
Gen2Out: Detecting and Ranking Generalized Anomalies. Lee, M.; Shekhar, S.; Faloutsos, C.; Hutson, T. N.; and Iasemidis, L. D. In Chen, Y.; Ludwig, H.; Tu, Y.; Fayyad, U. M.; Zhu, X.; Hu, X.; Byna, S.; Liu, X.; Zhang, J.; Pan, S.; Papalexakis, V.; Wang, J.; Cuzzocrea, A.; and Ordonez, C., editor(s), 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, pages 801–811, 2021. IEEE
Gen\(^\mbox2\)Out: Detecting and Ranking Generalized Anomalies [link]Paper   doi   link   bibtex  
DiffXtract: Joint Discriminative Product Attribute-Value Extraction. Embar, V.; Kan, A.; Sisman, B.; Faloutsos, C.; and Getoor, L. In Chen, L.; and Fernández-Manjón, B., editor(s), 2021 IEEE International Conference on Big Knowledge, ICBK 2021, Auckland, New Zealand, December 7-8, 2021, pages 271–280, 2021. IEEE
DiffXtract: Joint Discriminative Product Attribute-Value Extraction [link]Paper   doi   link   bibtex  
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection. Lee, M.; Vajiac, C.; Kulshrestha, A.; Levy, S.; Park, N.; Jones, C.; Rabbany, R.; and Faloutsos, C. In 37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, pages 1116–1127, 2021. IEEE
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection [link]Paper   doi   link   bibtex  
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. Wang, R.; Maddix, D. C.; Faloutsos, C.; Wang, Y.; and Yu, R. In Jadbabaie, A.; Lygeros, J.; Pappas, G. J.; Parrilo, P. A.; Recht, B.; Tomlin, C. J.; and Zeilinger, M. N., editor(s), Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland, volume 144, of Proceedings of Machine Learning Research, pages 385–398, 2021. PMLR
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems [link]Paper   link   bibtex  
EX3: Explainable Attribute-aware Item-set Recommendations. Xian, Y.; Zhao, T.; Li, J.; Chan, J.; Kan, A.; Ma, J.; Dong, X. L.; Faloutsos, C.; Karypis, G.; Muthukrishnan, S.; and Zhang, Y. In Pampín, H. J. C.; Larson, M. A.; Willemsen, M. C.; Konstan, J. A.; McAuley, J. J.; Garcia-Gathright, J.; Huurnink, B.; and Oldridge, E., editor(s), RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021, pages 484–494, 2021. ACM
EX3: Explainable Attribute-aware Item-set Recommendations [link]Paper   doi   link   bibtex  
gen2Out: Detecting and Ranking Generalized Anomalies. Lee, M.; Shekhar, S.; Faloutsos, C.; Hutson, T. N.; and Iasemidis, L. D. CoRR, abs/2109.02704. 2021.
gen2Out: Detecting and Ranking Generalized Anomalies [link]Paper   link   bibtex  
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series. Shekhar, S.; Eswaran, D.; Hooi, B.; Elmer, J.; Faloutsos, C.; and Akoglu, L. CoRR, abs/2111.06032. 2021.
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series [link]Paper   link   bibtex  
  2020 (32)
Fast and memory-efficient algorithms for high-order Tucker decomposition. Zhang, J.; Oh, J.; Shin, K.; Papalexakis, E. E.; Faloutsos, C.; and Yu, H. Knowl. Inf. Syst., 62(7): 2765–2794. 2020.
Fast and memory-efficient algorithms for high-order Tucker decomposition [link]Paper   doi   link   bibtex  
Fast and Effective Distribution-Key Recommendation for Amazon Redshift. Parchas, P.; Naamad, Y.; Bouwel, P. V.; Faloutsos, C.; and Petropoulos, M. Proc. VLDB Endow., 13(11): 2411–2423. 2020.
Fast and Effective Distribution-Key Recommendation for Amazon Redshift [pdf]Paper   link   bibtex  
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams. Shin, K.; Oh, S.; Kim, J.; Hooi, B.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 14(2): 12:1–12:39. 2020.
Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams [link]Paper   doi   link   bibtex  
TurboLift: fast accuracy lifting for historical data recovery. Yang, F.; Almutairi, F. M.; Song, H. A.; Faloutsos, C.; Sidiropoulos, N. D.; and Zadorozhny, V. VLDB J., 29(5): 1129–1148. 2020.
TurboLift: fast accuracy lifting for historical data recovery [link]Paper   doi   link   bibtex  
Temporal locality-aware sampling for accurate triangle counting in real graph streams. Lee, D.; Shin, K.; and Faloutsos, C. VLDB J., 29(6): 1501–1525. 2020.
Temporal locality-aware sampling for accurate triangle counting in real graph streams [link]Paper   doi   link   bibtex  
Midas: Microcluster-Based Detector of Anomalies in Edge Streams. Bhatia, S.; Hooi, B.; Yoon, M.; Shin, K.; and Faloutsos, C. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, pages 3242–3249, 2020. AAAI Press
Midas: Microcluster-Based Detector of Anomalies in Edge Streams [link]Paper   doi   link   bibtex  
TellTail: Fast Scoring and Detection of Dense Subgraphs. Hooi, B.; Shin, K.; Lamba, H.; and Faloutsos, C. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, pages 4150–4157, 2020. AAAI Press
TellTail: Fast Scoring and Detection of Dense Subgraphs [link]Paper   doi   link   bibtex  
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage. Embar, V.; Sisman, B.; Wei, H.; Dong, X. L.; Faloutsos, C.; and Getoor, L. In Das, D.; Hajishirzi, H.; McCallum, A.; and Singh, S., editor(s), Conference on Automated Knowledge Base Construction, AKBC 2020, Virtual, June 22-24, 2020, 2020.
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage [link]Paper   doi   link   bibtex  
AutoAudit: Mining Accounting and Time-Evolving Graphs. Lee, M.; Zhao, Y.; Wang, A.; Liang, P. J.; Akoglu, L.; Tseng, V. S.; and Faloutsos, C. In Wu, X.; Jermaine, C.; Xiong, L.; Hu, X.; Kotevska, O.; Lu, S.; Xu, W.; Aluru, S.; Zhai, C.; Al-Masri, E.; Chen, Z.; and Saltz, J., editor(s), 2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, pages 950–956, 2020. IEEE
AutoAudit: Mining Accounting and Time-Evolving Graphs [link]Paper   doi   link   bibtex  
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. Hao, J.; Zhao, T.; Li, J.; Dong, X. L.; Faloutsos, C.; Sun, Y.; and Wang, W. In d'Aquin , M.; Dietze, S.; Hauff, C.; Curry, E.; and Cudré-Mauroux, P., editor(s), CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, pages 2517–2524, 2020. ACM
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation [link]Paper   doi   link   bibtex  
Provably Robust Node Classification via Low-Pass Message Passing. Wang, Y.; Liu, S.; Yoon, M.; Lamba, H.; Wang, W.; Faloutsos, C.; and Hooi, B. In Plant, C.; Wang, H.; Cuzzocrea, A.; Zaniolo, C.; and Wu, X., editor(s), 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, pages 621–630, 2020. IEEE
Provably Robust Node Classification via Low-Pass Message Passing [link]Paper   doi   link   bibtex  
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. Yoon, M.; Gervet, T.; Hooi, B.; and Faloutsos, C. In Plant, C.; Wang, H.; Cuzzocrea, A.; Zaniolo, C.; and Wu, X., editor(s), 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, pages 751–760, 2020. IEEE
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off [link]Paper   doi   link   bibtex  
J-Recs: Principled and Scalable Recommendation Justification. Park, N.; Kan, A.; Faloutsos, C.; and Dong, X. L. In Plant, C.; Wang, H.; Cuzzocrea, A.; Zaniolo, C.; and Wu, X., editor(s), 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, pages 1208–1213, 2020. IEEE
J-Recs: Principled and Scalable Recommendation Justification [link]Paper   doi   link   bibtex  
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. Park, N.; Kan, A.; Dong, X. L.; Zhao, T.; and Faloutsos, C. In Gupta, R.; Liu, Y.; Tang, J.; and Prakash, B. A., editor(s), KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, pages 503–512, 2020. ACM
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals [link]Paper   doi   link   bibtex  
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. Mao, Y.; Zhao, T.; Kan, A.; Zhang, C.; Dong, X. L.; Faloutsos, C.; and Han, J. In Gupta, R.; Liu, Y.; Tang, J.; and Prakash, B. A., editor(s), KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, pages 2247–2257, 2020. ACM
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision [link]Paper   doi   link   bibtex  
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. Dong, X. L.; He, X.; Kan, A.; Li, X.; Liang, Y.; Ma, J.; Xu, Y. E.; Zhang, C.; Zhao, T.; Saldana, G. B.; Deshpande, S.; Manduca, A. M.; Ren, J.; Singh, S. P.; Xiao, F.; Chang, H.; Karamanolakis, G.; Mao, Y.; Wang, Y.; Faloutsos, C.; McCallum, A.; and Han, J. In Gupta, R.; Liu, Y.; Tang, J.; and Prakash, B. A., editor(s), KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, pages 2724–2734, 2020. ACM
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types [link]Paper   doi   link   bibtex  
TRIAGE: Temporal Twitter attribute graph patterns. Dimitriadis, I.; Poiitis, M.; Faloutsos, C.; and Vakali, A. In Chbeir, R.; Manolopoulos, Y.; Akerkar, R.; and Mizera-Pietraszko, J., editor(s), WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30 - July 3, 2020, pages 44–53, 2020. ACM
TRIAGE: Temporal Twitter attribute graph patterns [link]Paper   doi   link   bibtex  
AutoBlock: A Hands-off Blocking Framework for Entity Matching. Zhang, W.; Wei, H.; Sisman, B.; Dong, X. L.; Faloutsos, C.; and Page, D. In Caverlee, J.; Hu, X. (.; Lalmas, M.; and Wang, W., editor(s), WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020, pages 744–752, 2020. ACM
AutoBlock: A Hands-off Blocking Framework for Entity Matching [link]Paper   doi   link   bibtex  
Forecasting Big Time Series: Theory and Practice. Faloutsos, C.; Flunkert, V.; Gasthaus, J.; Januschowski, T.; and Wang, Y. In Seghrouchni, A. E. F.; Sukthankar, G.; Liu, T.; and van Steen, M., editor(s), Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, pages 320–321, 2020. ACM / IW3C2
Forecasting Big Time Series: Theory and Practice [link]Paper   doi   link   bibtex  
Collective Multi-type Entity Alignment Between Knowledge Graphs. Zhu, Q.; Wei, H.; Sisman, B.; Zheng, D.; Faloutsos, C.; Dong, X. L.; and Han, J. In Huang, Y.; King, I.; Liu, T.; and van Steen, M., editor(s), WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, pages 2241–2252, 2020. ACM / IW3C2
Collective Multi-type Entity Alignment Between Knowledge Graphs [link]Paper   doi   link   bibtex  
Higher-Order Label Homogeneity and Spreading in Graphs. Eswaran, D.; Kumar, S.; and Faloutsos, C. In Huang, Y.; King, I.; Liu, T.; and van Steen, M., editor(s), WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, pages 2493–2499, 2020. ACM / IW3C2
Higher-Order Label Homogeneity and Spreading in Graphs [link]Paper   doi   link   bibtex  
Higher-Order Label Homogeneity and Spreading in Graphs. Eswaran, D.; Kumar, S.; and Faloutsos, C. CoRR, abs/2002.07833. 2020.
Higher-Order Label Homogeneity and Spreading in Graphs [link]Paper   link   bibtex  
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. Mao, Y.; Zhao, T.; Kan, A.; Zhang, C.; Dong, X. L.; Faloutsos, C.; and Han, J. CoRR, abs/2006.10276. 2020.
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision [link]Paper   link   bibtex  
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. Park, N.; Kan, A.; Dong, X. L.; Zhao, T.; and Faloutsos, C. CoRR, abs/2006.12001. 2020.
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals [link]Paper   link   bibtex  
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. Dong, X. L.; He, X.; Kan, A.; Li, X.; Liang, Y.; Ma, J.; Xu, Y. E.; Zhang, C.; Zhao, T.; Saldana, G. B.; Deshpande, S.; Manduca, A. M.; Ren, J.; Singh, S. P.; Xiao, F.; Chang, H.; Karamanolakis, G.; Mao, Y.; Wang, Y.; Faloutsos, C.; McCallum, A.; and Han, J. CoRR, abs/2006.13473. 2020.
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types [link]Paper   link   bibtex  
Real-Time Streaming Anomaly Detection in Dynamic Graphs. Bhatia, S.; Liu, R.; Hooi, B.; Yoon, M.; Shin, K.; and Faloutsos, C. CoRR, abs/2009.08452. 2020.
Real-Time Streaming Anomaly Detection in Dynamic Graphs [link]Paper   link   bibtex  
AutoAudit: Mining Accounting and Time-Evolving Graphs. Lee, M.; Zhao, Y.; Wang, A.; Liang, P. J.; Akoglu, L.; Tseng, V. S.; and Faloutsos, C. CoRR, abs/2011.00447. 2020.
AutoAudit: Mining Accounting and Time-Evolving Graphs [link]Paper   link   bibtex  
J-Recs: Principled and Scalable Recommendation Justification. Park, N.; Kan, A.; Faloutsos, C.; and Dong, X. L. CoRR, abs/2011.05928. 2020.
J-Recs: Principled and Scalable Recommendation Justification [link]Paper   link   bibtex  
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. Wang, R.; Maddix, D. C.; Faloutsos, C.; Wang, Y.; and Yu, R. CoRR, abs/2011.10616. 2020.
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems [link]Paper   link   bibtex  
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. Yoon, M.; Hooi, B.; Shin, K.; and Faloutsos, C. CoRR, abs/2011.13085. 2020.
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach [link]Paper   link   bibtex  
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off. Yoon, M.; Gervet, T.; Hooi, B.; and Faloutsos, C. CoRR, abs/2011.14925. 2020.
Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off [link]Paper   link   bibtex  
Dynamic Graph-Based Anomaly Detection in the Electrical Grid. Li, S.; Pandey, A.; Hooi, B.; Faloutsos, C.; and Pileggi, L. T. CoRR, abs/2012.15006. 2020.
Dynamic Graph-Based Anomaly Detection in the Electrical Grid [link]Paper   link   bibtex  
  2019 (17)
TensorCast: forecasting and mining with coupled tensors. Araujo, M.; Ribeiro, P. M. P.; Song, H. A.; and Faloutsos, C. Knowl. Inf. Syst., 59(3): 497–522. 2019.
TensorCast: forecasting and mining with coupled tensors [link]Paper   doi   link   bibtex  
WebHound: a data-driven intrusion detection from real-world web access logs. Wei, T.; Lee, H.; Jeng, A. B.; Lamba, H.; and Faloutsos, C. Soft Comput., 23(22): 11947–11965. 2019.
WebHound: a data-driven intrusion detection from real-world web access logs [link]Paper   doi   link   bibtex  
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). van Leeuwen, M.; Chau, P.; Vreeken, J.; Shahaf, D.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 13(1): 13:1–13:2. 2019.
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1) [link]Paper   doi   link   bibtex  
A Contrast Metric for Fraud Detection in Rich Graphs. Liu, S.; Hooi, B.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 31(12): 2235–2248. 2019.
A Contrast Metric for Fraud Detection in Rich Graphs [link]Paper   doi   link   bibtex  
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. Fu, X.; Huang, K.; Papalexakis, E. E.; Song, H. A.; Talukdar, P. P.; Sidiropoulos, N. D.; Faloutsos, C.; and Mitchell, T. M. IEEE Trans. Knowl. Data Eng., 31(12): 2304–2318. 2019.
Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data [link]Paper   doi   link   bibtex  
Intervention-Aware Early Warning. Eswaran, D.; Faloutsos, C.; Mishra, N.; and Naamad, Y. In Wang, J.; Shim, K.; and Wu, X., editor(s), 2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019, pages 1030–1035, 2019. IEEE
Intervention-Aware Early Warning [link]Paper   doi   link   bibtex  
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. Park, N.; Kan, A.; Dong, X. L.; Zhao, T.; and Faloutsos, C. In Teredesai, A.; Kumar, V.; Li, Y.; Rosales, R.; Terzi, E.; and Karypis, G., editor(s), Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, pages 596–606, 2019. ACM
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks [link]Paper   doi   link   bibtex  
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach. Yoon, M.; Hooi, B.; Shin, K.; and Faloutsos, C. In Teredesai, A.; Kumar, V.; Li, Y.; Rosales, R.; Terzi, E.; and Karypis, G., editor(s), Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, pages 647–657, 2019. ACM
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach [link]Paper   doi   link   bibtex  
Forecasting Big Time Series: Theory and Practice. Faloutsos, C.; Flunkert, V.; Gasthaus, J.; Januschowski, T.; and Wang, Y. In Teredesai, A.; Kumar, V.; Li, Y.; Rosales, R.; Terzi, E.; and Karypis, G., editor(s), Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, pages 3209–3210, 2019. ACM
Forecasting Big Time Series: Theory and Practice [link]Paper   doi   link   bibtex  
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. Feng, W.; Liu, S.; Faloutsos, C.; Hooi, B.; Shen, H.; and Cheng, X. In Yang, Q.; Zhou, Z.; Gong, Z.; Zhang, M.; and Huang, S., editor(s), Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, volume 11439, of Lecture Notes in Computer Science, pages 541–554, 2019. Springer
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection [link]Paper   doi   link   bibtex  
Branch and Border: Partition-Based Change Detection in Multivariate Time Series. Hooi, B.; and Faloutsos, C. In Berger-Wolf, T. Y.; and Chawla, N. V., editor(s), Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019, pages 504–512, 2019. SIAM
Branch and Border: Partition-Based Change Detection in Multivariate Time Series [link]Paper   doi   link   bibtex  
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns. Hooi, B.; Shin, K.; Liu, S.; and Faloutsos, C. In Berger-Wolf, T. Y.; and Chawla, N. V., editor(s), Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019, pages 621–629, 2019. SIAM
SMF: Drift-Aware Matrix Factorization with Seasonal Patterns [link]Paper   doi   link   bibtex  
Classical and Contemporary Approaches to Big Time Series Forecasting. Faloutsos, C.; Gasthaus, J.; Januschowski, T.; and Wang, Y. In Boncz, P. A.; Manegold, S.; Ailamaki, A.; Deshpande, A.; and Kraska, T., editor(s), Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019, pages 2042–2047, 2019. ACM
Classical and Contemporary Approaches to Big Time Series Forecasting [link]Paper   doi   link   bibtex  
Impact of Load Models on Power Flow Optimization. Jereminov, M.; Hooi, B.; Pandey, A.; Song, H. A.; Faloutsos, C.; and Pileggi, L. T. CoRR, abs/1902.04154. 2019.
Impact of Load Models on Power Flow Optimization [link]Paper   link   bibtex  
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. Park, N.; Kan, A.; Dong, X. L.; Zhao, T.; and Faloutsos, C. CoRR, abs/1905.08865. 2019.
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks [link]Paper   link   bibtex  
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams. Bhatia, S.; Hooi, B.; Yoon, M.; Shin, K.; and Faloutsos, C. CoRR, abs/1911.04464. 2019.
MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams [link]Paper   link   bibtex  
AutoBlock: A Hands-off Blocking Framework for Entity Matching. Zhang, W.; Wei, H.; Sisman, B.; Dong, X. L.; Faloutsos, C.; and Page, D. CoRR, abs/1912.03417. 2019.
AutoBlock: A Hands-off Blocking Framework for Entity Matching [link]Paper   link   bibtex  
  2018 (27)
Patterns and anomalies in k-cores of real-world graphs with applications. Shin, K.; Eliassi-Rad, T.; and Faloutsos, C. Knowl. Inf. Syst., 54(3): 677–710. 2018.
Patterns and anomalies in k-cores of real-world graphs with applications [link]Paper   doi   link   bibtex  
HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data. Almutairi, F. M.; Yang, F.; Song, H. A.; Faloutsos, C.; Sidiropoulos, N. D.; and Zadorozhny, V. Proc. VLDB Endow., 11(11): 1496–1508. 2018.
HomeRun: Scalable Sparse-Spectrum Reconstruction of Aggregated Historical Data [pdf]Paper   doi   link   bibtex  
Forecasting Big Time Series: Old and New. Faloutsos, C.; Gasthaus, J.; Januschowski, T.; and Wang, Y. Proc. VLDB Endow., 11(12): 2102–2105. 2018.
Forecasting Big Time Series: Old and New [pdf]Paper   doi   link   bibtex  
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining. Shin, K.; Hooi, B.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 12(3): 28:1–28:30. 2018.
Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining [link]Paper   doi   link   bibtex  
On Power Law Growth of Social Networks. Zang, C.; Cui, P.; Faloutsos, C.; and Zhu, W. IEEE Trans. Knowl. Data Eng., 30(9): 1727–1740. 2018.
On Power Law Growth of Social Networks [link]Paper   doi   link   bibtex  
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. Trivedi, R.; Sisman, B.; Dong, X. L.; Faloutsos, C.; Ma, J.; and Zha, H. In Gurevych, I.; and Miyao, Y., editor(s), Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, pages 252–262, 2018. Association for Computational Linguistics
LinkNBed: Multi-Graph Representation Learning with Entity Linkage [link]Paper   doi   link   bibtex  
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph. Hooi, B.; Akoglu, L.; Eswaran, D.; Pandey, A.; Jereminov, M.; Pileggi, L. T.; and Faloutsos, C. In Cuzzocrea, A.; Allan, J.; Paton, N. W.; Srivastava, D.; Agrawal, R.; Broder, A. Z.; Zaki, M. J.; Candan, K. S.; Labrinidis, A.; Schuster, A.; and Wang, H., editor(s), Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, pages 507–516, 2018. ACM
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph [link]Paper   doi   link   bibtex  
Disk-based Matrix Completion for Memory Limited Devices. Lee, D.; Oh, J.; Faloutsos, C.; Kim, B.; and Yu, H. In Cuzzocrea, A.; Allan, J.; Paton, N. W.; Srivastava, D.; Agrawal, R.; Broder, A. Z.; Zaki, M. J.; Candan, K. S.; Labrinidis, A.; Schuster, A.; and Wang, H., editor(s), Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, pages 1093–1102, 2018. ACM
Disk-based Matrix Completion for Memory Limited Devices [link]Paper   doi   link   bibtex  
Ares: Automatic Disaggregation of Historical Data. Yang, F.; Song, H. A.; Liu, Z.; Faloutsos, C.; Zadorozhny, V.; and Sidiropoulos, N. D. In 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, pages 65–76, 2018. IEEE Computer Society
Ares: Automatic Disaggregation of Historical Data [link]Paper   doi   link   bibtex  
SedanSpot: Detecting Anomalies in Edge Streams. Eswaran, D.; and Faloutsos, C. In IEEE International Conference on Data Mining, ICDM 2018, Singapore, November 17-20, 2018, pages 953–958, 2018. IEEE Computer Society
SedanSpot: Detecting Anomalies in Edge Streams [link]Paper   doi   link   bibtex  
TensorCast: Forecasting Time-Evolving Networks with Contextual Information. Araujo, M.; Ribeiro, P. M. P.; and Faloutsos, C. In Lang, J., editor(s), Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, pages 5199–5203, 2018. ijcai.org
TensorCast: Forecasting Time-Evolving Networks with Contextual Information [link]Paper   doi   link   bibtex  
SDREGION: Fast Spotting of Changing Communities in Biological Networks. Wong, S. W. H.; Pastrello, C.; Kotlyar, M.; Faloutsos, C.; and Jurisica, I. In Guo, Y.; and Farooq, F., editor(s), Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018, pages 867–875, 2018. ACM
SDREGION: Fast Spotting of Changing Communities in Biological Networks [link]Paper   doi   link   bibtex  
SpotLight: Detecting Anomalies in Streaming Graphs. Eswaran, D.; Faloutsos, C.; Guha, S.; and Mishra, N. In Guo, Y.; and Farooq, F., editor(s), Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018, pages 1378–1386, 2018. ACM
SpotLight: Detecting Anomalies in Streaming Graphs [link]Paper   doi   link   bibtex  
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams. Shin, K.; Hammoud, M.; Lee, E.; Oh, J.; and Faloutsos, C. In Phung, D. Q.; Tseng, V. S.; Webb, G. I.; Ho, B.; Ganji, M.; and Rashidi, L., editor(s), Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III, volume 10939, of Lecture Notes in Computer Science, pages 651–663, 2018. Springer
Tri-Fly: Distributed Estimation of Global and Local Triangle Counts in Graph Streams [link]Paper   doi   link   bibtex  
GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid. Hooi, B.; Eswaran, D.; Song, H. A.; Pandey, A.; Jereminov, M.; Pileggi, L. T.; and Faloutsos, C. In Berlingerio, M.; Bonchi, F.; Gärtner, T.; Hurley, N.; and Ifrim, G., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I, volume 11051, of Lecture Notes in Computer Science, pages 71–86, 2018. Springer
GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid [link]Paper   doi   link   bibtex  
Social-Affiliation Networks: Patterns and the SOAR Model. Eswaran, D.; Rabbany, R.; Dubrawski, A. W.; and Faloutsos, C. In Berlingerio, M.; Bonchi, F.; Gärtner, T.; Hurley, N.; and Ifrim, G., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II, volume 11052, of Lecture Notes in Computer Science, pages 105–121, 2018. Springer
Social-Affiliation Networks: Patterns and the SOAR Model [link]Paper   doi   link   bibtex  
Beyond Outlier Detection: LookOut for Pictorial Explanation. Gupta, N.; Eswaran, D.; Shah, N.; Akoglu, L.; and Faloutsos, C. In Berlingerio, M.; Bonchi, F.; Gärtner, T.; Hurley, N.; and Ifrim, G., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I, volume 11051, of Lecture Notes in Computer Science, pages 122–138, 2018. Springer
Beyond Outlier Detection: LookOut for Pictorial Explanation [link]Paper   doi   link   bibtex  
ONE-M: Modeling the Co-evolution of Opinions and Network Connections. Nigam, A.; Shin, K.; Bahulkar, A.; Hooi, B.; Hachen, D.; Szymanski, B. K.; Faloutsos, C.; and Chawla, N. V. In Berlingerio, M.; Bonchi, F.; Gärtner, T.; Hurley, N.; and Ifrim, G., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II, volume 11052, of Lecture Notes in Computer Science, pages 122–140, 2018. Springer
ONE-M: Modeling the Co-evolution of Opinions and Network Connections [link]Paper   doi   link   bibtex  
Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions. Shin, K.; Kim, J.; Hooi, B.; and Faloutsos, C. In Berlingerio, M.; Bonchi, F.; Gärtner, T.; Hurley, N.; and Ifrim, G., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II, volume 11052, of Lecture Notes in Computer Science, pages 141–157, 2018. Springer
Think Before You Discard: Accurate Triangle Counting in Graph Streams with Deletions [link]Paper   doi   link   bibtex  
StreamCast: Fast and Online Mining of Power Grid Time Sequences. Hooi, B.; Song, H. A.; Pandey, A.; Jereminov, M.; Pileggi, L. T.; and Faloutsos, C. In Ester, M.; and Pedreschi, D., editor(s), Proceedings of the 2018 SIAM International Conference on Data Mining, SDM 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San Diego, CA, USA, pages 531–539, 2018. SIAM
StreamCast: Fast and Online Mining of Power Grid Time Sequences [link]Paper   doi   link   bibtex  
Did We Get It Right? Predicting Query Performance in e-Commerce Search. Kumar, R.; Kumar, M.; Shah, N.; and Faloutsos, C. In Degenhardt, J.; Fabbrizio, G. D.; Kallumadi, S.; Kumar, M.; Trotman, A.; Lin, Y.; and Zhao, H., editor(s), The SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), Ann Arbor, Michigan, USA, July 12, 2018, volume 2319, of CEUR Workshop Proceedings, 2018. CEUR-WS.org
Did We Get It Right? Predicting Query Performance in e-Commerce Search [pdf]Paper   link   bibtex  
REV2: Fraudulent User Prediction in Rating Platforms. Kumar, S.; Hooi, B.; Makhija, D.; Kumar, M.; Faloutsos, C.; and Subrahmanian, V. S. In Chang, Y.; Zhai, C.; Liu, Y.; and Maarek, Y., editor(s), Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018, pages 333–341, 2018. ACM
REV2: Fraudulent User Prediction in Rating Platforms [link]Paper   doi   link   bibtex  
Fraud Detection Using Social Network Analysis: A Case Study. Chau, D. H.; and Faloutsos, C. In Alhajj, R.; and Rokne, J. G., editor(s), Encyclopedia of Social Network Analysis and Mining, 2nd Edition. Springer, 2018.
Fraud Detection Using Social Network Analysis: A Case Study [link]Paper   doi   link   bibtex  
Out-of-Core and Distributed Algorithms for Dense Subtensor Mining. Shin, K.; Hooi, B.; Kim, J.; and Faloutsos, C. CoRR, abs/1802.01065. 2018.
Out-of-Core and Distributed Algorithms for Dense Subtensor Mining [link]Paper   link   bibtex  
DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams. Shin, K.; Lee, E.; Oh, J.; Hammoud, M.; and Faloutsos, C. CoRR, abs/1802.04249. 2018.
DiSLR: Distributed Sampling with Limited Redundancy For Triangle Counting in Graph Streams [link]Paper   link   bibtex  
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. Trivedi, R.; Sisman, B.; Ma, J.; Faloutsos, C.; Zha, H.; and Dong, X. L. CoRR, abs/1807.08447. 2018.
LinkNBed: Multi-Graph Representation Learning with Entity Linkage [link]Paper   link   bibtex  
Did We Get It Right? Predicting Query Performance in E-commerce Search. Kumar, R.; Kumar, M.; Shah, N.; and Faloutsos, C. CoRR, abs/1808.00239. 2018.
Did We Get It Right? Predicting Query Performance in E-commerce Search [link]Paper   link   bibtex  
  2017 (47)
Individual and Collective Graph Mining: Principles, Algorithms, and Applications. Koutra, D.; and Faloutsos, C. of Synthesis Lectures on Data Mining and Knowledge DiscoveryMorgan & Claypool Publishers, 2017.
Individual and Collective Graph Mining: Principles, Algorithms, and Applications [link]Paper   doi   link   bibtex  
On Summarizing Large-Scale Dynamic Graphs. Shah, N.; Koutra, D.; Jin, L.; Zou, T.; Gallagher, B.; and Faloutsos, C. IEEE Data Eng. Bull., 40(3): 75–88. 2017.
On Summarizing Large-Scale Dynamic Graphs [pdf]Paper   link   bibtex  
Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors. Lee, S.; Faloutsos, C.; Chae, D.; and Kim, S. IEICE Trans. Inf. Syst., 100-D(10): 2659–2663. 2017.
Fraud Detection in Comparison-Shopping Services: Patterns and Anomalies in User Click Behaviors [link]Paper   doi   link   bibtex  
DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data. Kim, S.; Li, L.; Faloutsos, C.; Yang, H.; and Lee, S. J. Inf. Sci. Eng., 33(2): 517–536. 2017.
DAPs: Mining using Change-Point Detection of Epileptic Activity Time Series Data [link]Paper   link   bibtex  
ZooBP: Belief Propagation for Heterogeneous Networks. Eswaran, D.; Günnemann, S.; Faloutsos, C.; Makhija, D.; and Kumar, M. Proc. VLDB Endow., 10(5): 625–636. 2017.
ZooBP: Belief Propagation for Heterogeneous Networks [pdf]Paper   doi   link   bibtex  
Facebook wall posts: a model of user behaviors. Devineni, P.; Koutra, D.; Faloutsos, M.; and Faloutsos, C. Soc. Netw. Anal. Min., 7(1): 6:1–6:15. 2017.
Facebook wall posts: a model of user behaviors [link]Paper   doi   link   bibtex  
Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms. Papalexakis, E. E.; Faloutsos, C.; and Sidiropoulos, N. D. ACM Trans. Intell. Syst. Technol., 8(2): 16:1–16:44. 2017.
Tensors for Data Mining and Data Fusion: Models, Applications, and Scalable Algorithms [link]Paper   doi   link   bibtex  
comeNgo: A Dynamic Model for Social Group Evolution. Zhang, T.; Cui, P.; Faloutsos, C.; Lu, Y.; Ye, H.; Zhu, W.; and Yang, S. ACM Trans. Knowl. Discov. Data, 11(4): 41:1–41:22. 2017.
comeNgo: A Dynamic Model for Social Group Evolution [link]Paper   doi   link   bibtex  
Graph-Based Fraud Detection in the Face of Camouflage. Hooi, B.; Shin, K.; Song, H. A.; Beutel, A.; Shah, N.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 11(4): 44:1–44:26. 2017.
Graph-Based Fraud Detection in the Face of Camouflage [link]Paper   doi   link   bibtex  
Modeling Temporal Activity to Detect Anomalous Behavior in Social Media. Costa, A. F.; Yamaguchi, Y.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 11(4): 49:1–49:23. 2017.
Modeling Temporal Activity to Detect Anomalous Behavior in Social Media [link]Paper   doi   link   bibtex  
Robust Data-Driven State Estimation for Smart Grid. Weng, Y.; Negi, R.; Faloutsos, C.; and Ilic, M. D. IEEE Trans. Smart Grid, 8(4): 1956–1967. 2017.
Robust Data-Driven State Estimation for Smart Grid [link]Paper   doi   link   bibtex  
Tensor Decomposition for Signal Processing and Machine Learning. Sidiropoulos, N. D.; Lathauwer, L. D.; Fu, X.; Huang, K.; Papalexakis, E. E.; and Faloutsos, C. IEEE Trans. Signal Process., 65(13): 3551–3582. 2017.
Tensor Decomposition for Signal Processing and Machine Learning [link]Paper   doi   link   bibtex  
Nonlinear Dynamics of Information Diffusion in Social Networks. Matsubara, Y.; Sakurai, Y.; Prakash, B. A.; Li, L.; and Faloutsos, C. ACM Trans. Web, 11(2): 11:1–11:40. 2017.
Nonlinear Dynamics of Information Diffusion in Social Networks [link]Paper   doi   link   bibtex  
Ecosystem on the Web: non-linear mining and forecasting of co-evolving online activities. Matsubara, Y.; Sakurai, Y.; and Faloutsos, C. World Wide Web, 20(3): 439–465. 2017.
Ecosystem on the Web: non-linear mining and forecasting of co-evolving online activities [link]Paper   doi   link   bibtex  
HoloScope: Topology-and-Spike Aware Fraud Detection. Liu, S.; Hooi, B.; and Faloutsos, C. In Lim, E.; Winslett, M.; Sanderson, M.; Fu, A. W.; Sun, J.; Culpepper, J. S.; Lo, E.; Ho, J. C.; Donato, D.; Agrawal, R.; Zheng, Y.; Castillo, C.; Sun, A.; Tseng, V. S.; and Li, C., editor(s), Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, pages 1539–1548, 2017. ACM
HoloScope: Topology-and-Spike Aware Fraud Detection [link]Paper   doi   link   bibtex  
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. Juan, D.; Shah, N.; Tang, M.; Qian, Z.; Marculescu, D.; and Faloutsos, C. In 2017 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2017, Tokyo, Japan, October 19-21, 2017, pages 341–350, 2017. IEEE
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings [link]Paper   doi   link   bibtex  
Skew-Resistant Graph Partitioning. Zheng, A.; Labrinidis, A.; and Faloutsos, C. In 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017, pages 151–154, 2017. IEEE Computer Society
Skew-Resistant Graph Partitioning [link]Paper   doi   link   bibtex  
TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award). de Araujo, M. R.; Ribeiro, P. M. P.; and Faloutsos, C. In Raghavan, V.; Aluru, S.; Karypis, G.; Miele, L.; and Wu, X., editor(s), 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, pages 71–80, 2017. IEEE Computer Society
TensorCast: Forecasting with Context Using Coupled Tensors (Best Paper Award) [link]Paper   doi   link   bibtex  
GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series. Song, H. A.; Yang, F.; Liu, Z.; Panhuis, W. V.; Sidiropoulos, N. D.; Faloutsos, C.; and Zadorozhny, V. In Gottumukkala, R.; Ning, X.; Dong, G.; Raghavan, V.; Aluru, S.; Karypis, G.; Miele, L.; and Wu, X., editor(s), 2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017, pages 494–501, 2017. IEEE Computer Society
GB-R: A Fast and Effective Gray-Box Reconstruction of Cascade Time-Series [link]Paper   doi   link   bibtex  
Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs. Goebl, S.; Kumar, S.; and Faloutsos, C. In Raghavan, V.; Aluru, S.; Karypis, G.; Miele, L.; and Wu, X., editor(s), 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, pages 877–882, 2017. IEEE Computer Society
Spectral Lens: Explainable Diagnostics, Tools and Discoveries in Directed, Weighted Graphs [link]Paper   doi   link   bibtex  
The Many Faces of Link Fraud. Shah, N.; Lamba, H.; Beutel, A.; and Faloutsos, C. In Raghavan, V.; Aluru, S.; Karypis, G.; Miele, L.; and Wu, X., editor(s), 2017 IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017, pages 1069–1074, 2017. IEEE Computer Society
The Many Faces of Link Fraud [link]Paper   doi   link   bibtex  
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment. Costa, P.; Campilho, A. J. C.; Hooi, B.; Smailagic, A.; Kitani, K.; Liu, S.; Faloutsos, C.; and Galdran, A. In Chen, X.; Luo, B.; Luo, F.; Palade, V.; and Wani, M. A., editor(s), 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017, pages 323–330, 2017. IEEE
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment [link]Paper   doi   link   bibtex  
Linear load model for robust power system analysis. Jereminov, M.; Pandey, A.; Song, H. A.; Hooi, B.; Faloutsos, C.; and Pileggi, L. T. In 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017, Torino, Italy, September 26-29, 2017, pages 1–6, 2017. IEEE
Linear load model for robust power system analysis [link]Paper   doi   link   bibtex  
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity. Zang, C.; Cui, P.; Faloutsos, C.; and Zhu, W. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, pages 565–574, 2017. ACM
Long Short Memory Process: Modeling Growth Dynamics of Microscopic Social Connectivity [link]Paper   doi   link   bibtex  
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. Shin, K.; Hooi, B.; Kim, J.; and Faloutsos, C. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, pages 1057–1066, 2017. ACM
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams [link]Paper   doi   link   bibtex  
PNP: Fast Path Ensemble Method for Movie Design. Koutra, D.; Dighe, A.; Bhagat, S.; Weinsberg, U.; Ioannidis, S.; Faloutsos, C.; and Bolot, J. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017, pages 1527–1536, 2017. ACM
PNP: Fast Path Ensemble Method for Movie Design [link]Paper   doi   link   bibtex  
Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe). Rabbany, R.; Eswaran, D.; Dubrawski, A. W.; and Faloutsos, C. In Kim, J.; Shim, K.; Cao, L.; Lee, J.; Lin, X.; and Moon, Y., editor(s), Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I, volume 10234, of Lecture Notes in Computer Science, pages 225–237, 2017.
Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe) [link]Paper   doi   link   bibtex  
BeatLex: Summarizing and Forecasting Time Series with Patterns. Hooi, B.; Liu, S.; Smailagic, A.; and Faloutsos, C. In Ceci, M.; Hollmén, J.; Todorovski, L.; Vens, C.; and Dzeroski, S., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II, volume 10535, of Lecture Notes in Computer Science, pages 3–19, 2017. Springer
BeatLex: Summarizing and Forecasting Time Series with Patterns [link]Paper   doi   link   bibtex  
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors. Lamba, H.; Hooi, B.; Shin, K.; Faloutsos, C.; and Pfeffer, J. In Ceci, M.; Hollmén, J.; Todorovski, L.; Vens, C.; and Dzeroski, S., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I, volume 10534, of Lecture Notes in Computer Science, pages 68–84, 2017. Springer
zooRank: Ranking Suspicious Entities in Time-Evolving Tensors [link]Paper   doi   link   bibtex  
PowerCast: Mining and Forecasting Power Grid Sequences. Song, H. A.; Hooi, B.; Jereminov, M.; Pandey, A.; Pileggi, L. T.; and Faloutsos, C. In Ceci, M.; Hollmén, J.; Todorovski, L.; Vens, C.; and Dzeroski, S., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II, volume 10535, of Lecture Notes in Computer Science, pages 606–621, 2017. Springer
PowerCast: Mining and Forecasting Power Grid Sequences [link]Paper   doi   link   bibtex  
VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume. Chino, D. Y. T.; Costa, A. F.; Traina, A. J. M.; and Faloutsos, C. In Chawla, N. V.; and Wang, W., editor(s), Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017, pages 108–116, 2017. SIAM
VolTime: Unsupervised Anomaly Detection on Users' Online Activity Volume [link]Paper   doi   link   bibtex  
The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation. Eswaran, D.; Günnemann, S.; and Faloutsos, C. In Chawla, N. V.; and Wang, W., editor(s), Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017, pages 144–152, 2017. SIAM
The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation [link]Paper   doi   link   bibtex  
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. Fu, X.; Huang, K.; Stretcu, O.; Song, H. A.; Papalexakis, E. E.; Talukdar, P. P.; Mitchell, T. M.; Sidiropoulos, N. D.; Faloutsos, C.; and Póczos, B. In Chawla, N. V.; and Wang, W., editor(s), Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017, pages 216–227, 2017. SIAM
BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals [link]Paper   doi   link   bibtex  
H-Fuse: Efficient Fusion of Aggregated Historical Data. Liu, Z.; Song, H. A.; Zadorozhny, V.; Faloutsos, C.; and Sidiropoulos, N. D. In Chawla, N. V.; and Wang, W., editor(s), Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017, pages 786–794, 2017. SIAM
H-Fuse: Efficient Fusion of Aggregated Historical Data [link]Paper   doi   link   bibtex  
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. Shin, K.; Hooi, B.; Kim, J.; and Faloutsos, C. In de Rijke, M.; Shokouhi, M.; Tomkins, A.; and Zhang, M., editor(s), Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017, pages 681–689, 2017. ACM
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors [link]Paper   doi   link   bibtex  
S-HOT: Scalable High-Order Tucker Decomposition. Oh, J.; Shin, K.; Papalexakis, E. E.; Faloutsos, C.; and Yu, H. In de Rijke, M.; Shokouhi, M.; Tomkins, A.; and Zhang, M., editor(s), Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017, pages 761–770, 2017. ACM
S-HOT: Scalable High-Order Tucker Decomposition [link]Paper   doi   link   bibtex  
AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization. Takahashi, T.; Hooi, B.; and Faloutsos, C. In Barrett, R.; Cummings, R.; Agichtein, E.; and Gabrilovich, E., editor(s), Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pages 213–221, 2017. ACM
AutoCyclone: Automatic Mining of Cyclic Online Activities with Robust Tensor Factorization [link]Paper   doi   link   bibtex  
On Detecting Frauds in Comparison-Shopping Services. Lee, S.; Faloutsos, C.; Chae, D.; and Kim, S. In Barrett, R.; Cummings, R.; Agichtein, E.; and Gabrilovich, E., editor(s), Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, pages 811–812, 2017. ACM
On Detecting Frauds in Comparison-Shopping Services [link]Paper   doi   link   bibtex  
Quantifying Structural Patterns of Information Cascades. Zang, C.; Cui, P.; Song, C.; Faloutsos, C.; and Zhu, W. In Barrett, R.; Cummings, R.; Agichtein, E.; and Gabrilovich, E., editor(s), Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, pages 867–868, 2017. ACM
Quantifying Structural Patterns of Information Cascades [link]Paper   doi   link   bibtex  
Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm. Chen, S.; Niu, S.; Akoglu, L.; Kovacevic, J.; and Faloutsos, C. CoRR, abs/1702.05764. 2017.
Fast, Warped Graph Embedding: Unifying Framework and One-Click Algorithm [link]Paper   link   bibtex  
FairJudge: Trustworthy User Prediction in Rating Platforms. Kumar, S.; Hooi, B.; Makhija, D.; Kumar, M.; Faloutsos, C.; and Subrahmanian, V. S. CoRR, abs/1703.10545. 2017.
FairJudge: Trustworthy User Prediction in Rating Platforms [link]Paper   link   bibtex  
OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection. Shah, N.; Lamba, H.; Beutel, A.; and Faloutsos, C. CoRR, abs/1704.01420. 2017.
OEC: Open-Ended Classification for Future-Proof Link-Fraud Detection [link]Paper   link   bibtex  
HoloScope: Topology-and-Spike Aware Fraud Detection. Liu, S.; Hooi, B.; and Faloutsos, C. CoRR, abs/1705.02505. 2017.
HoloScope: Topology-and-Spike Aware Fraud Detection [link]Paper   link   bibtex  
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams. Shin, K.; Hooi, B.; Kim, J.; and Faloutsos, C. CoRR, abs/1706.03374. 2017.
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams [link]Paper   link   bibtex  
Structural patterns of information cascades and their implications for dynamics and semantics. Zang, C.; Cui, P.; Song, C.; Faloutsos, C.; and Zhu, W. CoRR, abs/1708.02377. 2017.
Structural patterns of information cascades and their implications for dynamics and semantics [link]Paper   link   bibtex  
LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector. Gupta, N.; Eswaran, D.; Shah, N.; Akoglu, L.; and Faloutsos, C. CoRR, abs/1710.05333. 2017.
LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector [link]Paper   link   bibtex  
EagleMine: Vision-Guided Mining in Large Graphs. Feng, W.; Liu, S.; Faloutsos, C.; Hooi, B.; Shen, H.; and Cheng, X. CoRR, abs/1710.08756. 2017.
EagleMine: Vision-Guided Mining in Large Graphs [link]Paper   link   bibtex  
  2016 (39)
Unsupervised Tensor Mining for Big Data Practitioners. Papalexakis, E. E.; and Faloutsos, C. Big Data, 4(3): 179–191. 2016.
Unsupervised Tensor Mining for Big Data Practitioners [link]Paper   doi   link   bibtex  
Suspicious Behavior Detection: Current Trends and Future Directions. Jiang, M.; Cui, P.; and Faloutsos, C. IEEE Intell. Syst., 31(1): 31–39. 2016.
Suspicious Behavior Detection: Current Trends and Future Directions [link]Paper   doi   link   bibtex  
Discovery of "comet" communities in temporal and labeled graphs Com^2. Araujo, M.; Günnemann, S.; Papadimitriou, S.; Faloutsos, C.; Basu, P.; Swami, A.; Papalexakis, E. E.; and Koutra, D. Knowl. Inf. Syst., 46(3): 657–677. 2016.
Discovery of "comet" communities in temporal and labeled graphs Com\(^\mbox^2\) [link]Paper   doi   link   bibtex  
Inferring lockstep behavior from connectivity pattern in large graphs. Jiang, M.; Cui, P.; Beutel, A.; Faloutsos, C.; and Yang, S. Knowl. Inf. Syst., 48(2): 399–428. 2016.
Inferring lockstep behavior from connectivity pattern in large graphs [link]Paper   doi   link   bibtex  
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications. Papalexakis, E. E.; Mitchell, T. M.; Sidiropoulos, N. D.; Faloutsos, C.; Talukdar, P. P.; and Murphy, B. Stat. Anal. Data Min., 9(4): 269–290. 2016.
Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications [link]Paper   doi   link   bibtex  
Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning. Guo, Z.; Zhang, Z. (.; Xing, E. P.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 10(3): 23:1–23:30. 2016.
Multimodal Data Mining in a Multimedia Database Based on Structured Max Margin Learning [link]Paper   doi   link   bibtex  
DeltaCon: Principled Massive-Graph Similarity Function with Attribution. Koutra, D.; Shah, N.; Vogelstein, J. T.; Gallagher, B.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 10(3): 28:1–28:43. 2016.
DeltaCon: Principled Massive-Graph Similarity Function with Attribution [link]Paper   doi   link   bibtex  
Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach. Jiang, M.; Cui, P.; Beutel, A.; Faloutsos, C.; and Yang, S. ACM Trans. Knowl. Discov. Data, 10(4): 35:1–35:27. 2016.
Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach [link]Paper   doi   link   bibtex  
Eigen-Optimization on Large Graphs by Edge Manipulation. Chen, C.; Tong, H.; Prakash, B. A.; Eliassi-Rad, T.; Faloutsos, M.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 10(4): 49:1–49:30. 2016.
Eigen-Optimization on Large Graphs by Edge Manipulation [link]Paper   doi   link   bibtex  
Node Immunization on Large Graphs: Theory and Algorithms. Chen, C.; Tong, H.; Prakash, B. A.; Tsourakakis, C. E.; Eliassi-Rad, T.; Faloutsos, C.; and Chau, D. H. IEEE Trans. Knowl. Data Eng., 28(1): 113–126. 2016.
Node Immunization on Large Graphs: Theory and Algorithms [link]Paper   doi   link   bibtex  
Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms. Jiang, M.; Beutel, A.; Cui, P.; Hooi, B.; Yang, S.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 28(8): 2187–2200. 2016.
Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms [link]Paper   doi   link   bibtex  
Mining billion-scale tensors: algorithms and discoveries. Jeon, I.; Papalexakis, E. E.; Faloutsos, C.; Sael, L.; and Kang, U VLDB J., 25(4): 519–544. 2016.
Mining billion-scale tensors: algorithms and discoveries [link]Paper   doi   link   bibtex  
NimbleCore: A space-efficient external memory algorithm for estimating core numbers. Govindan, P.; Soundarajan, S.; Eliassi-Rad, T.; and Faloutsos, C. In Kumar, R.; Caverlee, J.; and Tong, H., editor(s), 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016, pages 207–214, 2016. IEEE Computer Society
NimbleCore: A space-efficient external memory algorithm for estimating core numbers [link]Paper   doi   link   bibtex  
PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information. Jang, M.; Faloutsos, C.; Kim, S.; Kang, U; and Ha, J. In Mukhopadhyay, S.; Zhai, C.; Bertino, E.; Crestani, F.; Mostafa, J.; Tang, J.; Si, L.; Zhou, X.; Chang, Y.; Li, Y.; and Sondhi, P., editor(s), Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016, pages 629–638, 2016. ACM
PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information [link]Paper   doi   link   bibtex  
Monitoring Manhattan's traffic at 5 intersections?. Chen, S.; Yang, Y.; Faloutsos, C.; and Kovacevic, J. In 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016, Washington, DC, USA, December 7-9, 2016, pages 1270–1274, 2016. IEEE
Monitoring Manhattan's traffic at 5 intersections? [link]Paper   doi   link   bibtex  
Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites. Costa, A. F.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. In Bonchi, F.; Domingo-Ferrer, J.; Baeza-Yates, R.; Zhou, Z.; and Wu, X., editor(s), IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain, pages 91–100, 2016. IEEE Computer Society
Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites [link]Paper   doi   link   bibtex  
Edge Weight Prediction in Weighted Signed Networks. Kumar, S.; Spezzano, F.; Subrahmanian, V. S.; and Faloutsos, C. In Bonchi, F.; Domingo-Ferrer, J.; Baeza-Yates, R.; Zhou, Z.; and Wu, X., editor(s), IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain, pages 221–230, 2016. IEEE Computer Society
Edge Weight Prediction in Weighted Signed Networks [link]Paper   doi   link   bibtex  
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. Shah, N.; Beutel, A.; Hooi, B.; Akoglu, L.; Günnemann, S.; Makhija, D.; Kumar, M.; and Faloutsos, C. In Domeniconi, C.; Gullo, F.; Bonchi, F.; Domingo-Ferrer, J.; Baeza-Yates, R.; Zhou, Z.; and Wu, X., editor(s), IEEE International Conference on Data Mining Workshops, ICDM Workshops 2016, December 12-15, 2016, Barcelona, Spain, pages 327–334, 2016. IEEE Computer Society
EdgeCentric: Anomaly Detection in Edge-Attributed Networks [link]Paper   doi   link   bibtex  
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms. Shin, K.; Eliassi-Rad, T.; and Faloutsos, C. In Bonchi, F.; Domingo-Ferrer, J.; Baeza-Yates, R.; Zhou, Z.; and Wu, X., editor(s), IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain, pages 469–478, 2016. IEEE Computer Society
CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies and Algorithms [link]Paper   doi   link   bibtex  
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis. Fu, X.; Huang, K.; Papalexakis, E. E.; Song, H. A.; Talukdar, P. P.; Sidiropoulos, N. D.; Faloutsos, C.; and Mitchell, T. M. In Bonchi, F.; Domingo-Ferrer, J.; Baeza-Yates, R.; Zhou, Z.; and Wu, X., editor(s), IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain, pages 871–876, 2016. IEEE Computer Society
Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis [link]Paper   doi   link   bibtex  
Mining Online Music Listening Trajectories. de Figueiredo, F. V. D.; Ribeiro, B.; Faloutsos, C.; Andrade, N.; and Almeida, J. M. In Mandel, M. I.; Devaney, J.; Turnbull, D.; and Tzanetakis, G., editor(s), Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, New York City, United States, August 7-11, 2016, pages 688–694, 2016.
Mining Online Music Listening Trajectories [pdf]Paper   link   bibtex  
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage. Hooi, B.; Song, H. A.; Beutel, A.; Shah, N.; Shin, K.; and Faloutsos, C. In Krishnapuram, B.; Shah, M.; Smola, A. J.; Aggarwal, C. C.; Shen, D.; and Rastogi, R., editor(s), Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, pages 895–904, 2016. ACM
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage [link]Paper   doi   link   bibtex  
CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors. Jiang, M.; Faloutsos, C.; and Han, J. In Krishnapuram, B.; Shah, M.; Smola, A. J.; Aggarwal, C. C.; Shen, D.; and Rastogi, R., editor(s), Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, pages 945–954, 2016. ACM
CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors [link]Paper   doi   link   bibtex  
Come-and-Go Patterns of Group Evolution: A Dynamic Model. Zhang, T.; Cui, P.; Faloutsos, C.; Lu, Y.; Ye, H.; Zhu, W.; and Yang, S. In Krishnapuram, B.; Shah, M.; Smola, A. J.; Aggarwal, C. C.; Shen, D.; and Rastogi, R., editor(s), Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, pages 1355–1364, 2016. ACM
Come-and-Go Patterns of Group Evolution: A Dynamic Model [link]Paper   doi   link   bibtex  
Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications. Zang, C.; Cui, P.; and Faloutsos, C. In Krishnapuram, B.; Shah, M.; Smola, A. J.; Aggarwal, C. C.; Shen, D.; and Rastogi, R., editor(s), Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, pages 2015–2024, 2016. ACM
Beyond Sigmoids: The NetTide Model for Social Network Growth, and Its Applications [link]Paper   doi   link   bibtex  
"Infect-me-not": A user-centric and site-centric study of web-based malware. Hang, H.; Bashir, A.; Faloutsos, M.; Faloutsos, C.; and Dumitras, T. In 2016 IFIP Networking Conference, Networking 2016 and Workshops, Vienna, Austria, May 17-19, 2016, pages 234–242, 2016. IEEE Computer Society
"Infect-me-not": A user-centric and site-centric study of web-based malware [link]Paper   doi   link   bibtex  
Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms. Hooi, B.; Song, H. A.; Papalexakis, E. E.; Agrawal, R.; and Faloutsos, C. In Bailey, J.; Khan, L.; Washio, T.; Dobbie, G.; Huang, J. Z.; and Wang, R., editor(s), Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II, volume 9652, of Lecture Notes in Computer Science, pages 376–387, 2016. Springer
Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms [link]Paper   doi   link   bibtex  
FastStep: Scalable Boolean Matrix Decomposition. Araujo, M.; Ribeiro, P. M. P.; and Faloutsos, C. In Bailey, J.; Khan, L.; Washio, T.; Dobbie, G.; Huang, J. Z.; and Wang, R., editor(s), Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I, volume 9651, of Lecture Notes in Computer Science, pages 461–473, 2016. Springer
FastStep: Scalable Boolean Matrix Decomposition [link]Paper   doi   link   bibtex  
M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees. Shin, K.; Hooi, B.; and Faloutsos, C. In Frasconi, P.; Landwehr, N.; Manco, G.; and Vreeken, J., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I, volume 9851, of Lecture Notes in Computer Science, pages 264–280, 2016. Springer
M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees [link]Paper   doi   link   bibtex  
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. Hooi, B.; Shah, N.; Beutel, A.; Günnemann, S.; Akoglu, L.; Kumar, M.; Makhija, D.; and Faloutsos, C. In Venkatasubramanian, S. C.; and Jr., W. M., editor(s), Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016, pages 495–503, 2016. SIAM
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection [link]Paper   doi   link   bibtex  
CAMLP: Confidence-Aware Modulated Label Propagation. Yamaguchi, Y.; Faloutsos, C.; and Kitagawa, H. In Venkatasubramanian, S. C.; and Jr., W. M., editor(s), Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016, pages 513–521, 2016. SIAM
CAMLP: Confidence-Aware Modulated Label Propagation [link]Paper   doi   link   bibtex  
On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. Pillutla, V. K.; Fang, Z.; Devineni, P.; Faloutsos, C.; Koutra, D.; and Tang, J. In Venkatasubramanian, S. C.; and Jr., W. M., editor(s), Proceedings of the 2016 SIAM International Conference on Data Mining, Miami, Florida, USA, May 5-7, 2016, pages 783–791, 2016. SIAM
On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries [link]Paper   doi   link   bibtex  
TribeFlow: Mining & Predicting User Trajectories. de Figueiredo, F. V. D.; Ribeiro, B.; Almeida, J. M.; and Faloutsos, C. In Bourdeau, J.; Hendler, J.; Nkambou, R.; Horrocks, I.; and Zhao, B. Y., editor(s), Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016, pages 695–706, 2016. ACM
TribeFlow: Mining & Predicting User Trajectories [link]Paper   doi   link   bibtex  
Non-Linear Mining of Competing Local Activities. Matsubara, Y.; Sakurai, Y.; and Faloutsos, C. In Bourdeau, J.; Hendler, J.; Nkambou, R.; Horrocks, I.; and Zhao, B. Y., editor(s), Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016, pages 737–747, 2016. ACM
Non-Linear Mining of Competing Local Activities [link]Paper   doi   link   bibtex  
Mining Big Time-series Data on the Web. Sakurai, Y.; Matsubara, Y.; and Faloutsos, C. In Bourdeau, J.; Hendler, J.; Nkambou, R.; Horrocks, I.; and Zhao, B. Y., editor(s), Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume, pages 1029–1032, 2016. ACM
Mining Big Time-series Data on the Web [link]Paper   doi   link   bibtex  
Adaptive, Automatic Stream Mining. Papadimitriou, S.; Brockwell, A.; and Faloutsos, C. In Garofalakis, M. N.; Gehrke, J.; and Rastogi, R., editor(s), Data Stream Management - Processing High-Speed Data Streams, of Data-Centric Systems and Applications, pages 499–528. Springer, 2016.
Adaptive, Automatic Stream Mining [link]Paper   doi   link   bibtex  
M3A: Model, MetaModel, and Anomaly Detection in Web Searches. Juan, D.; Shah, N.; Tang, M.; Qian, Z.; Marculescu, D.; and Faloutsos, C. CoRR, abs/1606.05978. 2016.
M3A: Model, MetaModel, and Anomaly Detection in Web Searches [link]Paper   link   bibtex  
Tensor Decomposition for Signal Processing and Machine Learning. Sidiropoulos, N. D.; Lathauwer, L. D.; Fu, X.; Huang, K.; Papalexakis, E. E.; and Faloutsos, C. CoRR, abs/1607.01668. 2016.
Tensor Decomposition for Signal Processing and Machine Learning [link]Paper   link   bibtex  
PNP: Fast Path Ensemble Method for Movie Design. Koutra, D.; Dighe, A.; Bhagat, S.; Weinsberg, U.; Ioannidis, S.; Faloutsos, C.; and Bolot, J. CoRR, abs/1611.02388. 2016.
PNP: Fast Path Ensemble Method for Movie Design [link]Paper   link   bibtex  
  2015 (39)
An analysis on information diffusion through BlogCast in a blogosphere. Ha, J.; Kim, S.; Faloutsos, C.; and Park, S. Inf. Sci., 290: 45–62. 2015.
An analysis on information diffusion through BlogCast in a blogosphere [link]Paper   doi   link   bibtex  
Estimating robustness in large social graphs. Malliaros, F. D.; Megalooikonomou, V.; and Faloutsos, C. Knowl. Inf. Syst., 45(3): 645–678. 2015.
Estimating robustness in large social graphs [link]Paper   doi   link   bibtex  
Linearized and Single-Pass Belief Propagation. Gatterbauer, W.; Günnemann, S.; Koutra, D.; and Faloutsos, C. Proc. VLDB Endow., 8(5): 581–592. 2015.
Linearized and Single-Pass Belief Propagation [pdf]Paper   doi   link   bibtex  
Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool. Koutra, D.; Jin, D.; Ning, Y.; and Faloutsos, C. Proc. VLDB Endow., 8(12): 1924–1927. 2015.
Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool [pdf]Paper   doi   link   bibtex  
Summarizing and understanding large graphs. Koutra, D.; Kang, U; Vreeken, J.; and Faloutsos, C. Stat. Anal. Data Min., 8(3): 183–202. 2015.
Summarizing and understanding large graphs [link]Paper   doi   link   bibtex  
Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times. de Melo, P. O. S. V.; Faloutsos, C.; Assunção, R. M.; Alves, R.; and Loureiro, A. A. F. ACM Trans. Knowl. Discov. Data, 9(3): 24:1–24:31. 2015.
Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times [link]Paper   doi   link   bibtex  
ParCube: Sparse Parallelizable CANDECOMP-PARAFAC Tensor Decomposition. Papalexakis, E. E.; Faloutsos, C.; and Sidiropoulos, N. D. ACM Trans. Knowl. Discov. Data, 10(1): 3:1–3:25. 2015.
ParCube: Sparse Parallelizable CANDECOMP-PARAFAC Tensor Decomposition [link]Paper   doi   link   bibtex  
OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation. Yamaguchi, Y.; Faloutsos, C.; and Kitagawa, H. In Bonet, B.; and Koenig, S., editor(s), Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, pages 3122–3128, 2015. AAAI Press
OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation [link]Paper   doi   link   bibtex  
If walls could talk: Patterns and anomalies in Facebook wallposts. Devineni, P.; Koutra, D.; Faloutsos, M.; and Faloutsos, C. In Pei, J.; Silvestri, F.; and Tang, J., editor(s), Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, Paris, France, August 25 - 28, 2015, pages 367–374, 2015. ACM
If walls could talk: Patterns and anomalies in Facebook wallposts [link]Paper   doi   link   bibtex  
Scalable community discovery from multi-faceted graphs. Metwally, A.; Pan, J.; Doan, M.; and Faloutsos, C. In 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015, pages 1053–1062, 2015. IEEE Computer Society
Scalable community discovery from multi-faceted graphs [link]Paper   doi   link   bibtex  
Location based Social Network analysis using Tensors and Signal Processing tools. Papalexakis, E. E.; Pelechrinis, K.; and Faloutsos, C. In 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015, Cancun, Mexico, December 13-16, 2015, pages 93–96, 2015. IEEE
Location based Social Network analysis using Tensors and Signal Processing tools [link]Paper   doi   link   bibtex  
Fraud Detection through Graph-Based User Behavior Modeling. Beutel, A.; Akoglu, L.; and Faloutsos, C. In Ray, I.; Li, N.; and Kruegel, C., editor(s), Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, Denver, CO, USA, October 12-16, 2015, pages 1696–1697, 2015. ACM
Fraud Detection through Graph-Based User Behavior Modeling [link]Paper   doi   link   bibtex  
Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement. Matsuda, N.; Furukawa, T.; Bier, N. L.; and Faloutsos, C. In Santos, O. C.; Boticario, J.; Romero, C.; Pechenizkiy, M.; Merceron, A.; Mitros, P.; Luna, J. M.; Mihaescu, M. C.; Moreno, P.; Hershkovitz, A.; Ventura, S.; and Desmarais, M. C., editor(s), Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015, pages 101–108, 2015. International Educational Data Mining Society (IEDMS)
Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement [pdf]Paper   link   bibtex  
Translation Invariant Word Embeddings. Huang, K.; Gardner, M.; Papalexakis, E. E.; Faloutsos, C.; Sidiropoulos, N. D.; Mitchell, T. M.; Talukdar, P. P.; and Fu, X. In Màrquez, L.; Callison-Burch, C.; Su, J.; Pighin, D.; and Marton, Y., editor(s), Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015, pages 1084–1088, 2015. The Association for Computational Linguistics
Translation Invariant Word Embeddings [link]Paper   doi   link   bibtex  
Fast efficient and scalable Core Consistency Diagnostic for the parafac decomposition for big sparse tensors. Papalexakis, E. E.; and Faloutsos, C. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015, South Brisbane, Queensland, Australia, April 19-24, 2015, pages 5441–5445, 2015. IEEE
Fast efficient and scalable Core Consistency Diagnostic for the parafac decomposition for big sparse tensors [link]Paper   doi   link   bibtex  
HaTen2: Billion-scale tensor decompositions. Jeon, I.; Papalexakis, E. E.; Kang, U; and Faloutsos, C. In Gehrke, J.; Lehner, W.; Shim, K.; Cha, S. K.; and Lohman, G. M., editor(s), 31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015, pages 1047–1058, 2015. IEEE Computer Society
HaTen2: Billion-scale tensor decompositions [link]Paper   doi   link   bibtex  
Automatic Taxonomy Extraction from Bipartite Graphs. Kötter, T.; Günnemann, S.; Berthold, M. R.; and Faloutsos, C. In Aggarwal, C. C.; Zhou, Z.; Tuzhilin, A.; Xiong, H.; and Wu, X., editor(s), 2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015, pages 221–230, 2015. IEEE Computer Society
Automatic Taxonomy Extraction from Bipartite Graphs [link]Paper   doi   link   bibtex  
Education, Learning and Information Theory. Hooi, B.; Song, H. A.; Papalexakis, E. E.; Agrawal, R.; and Faloutsos, C. In IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, NJ, USA, November 14-17, 2015, pages 269–272, 2015. IEEE Computer Society
Education, Learning and Information Theory [link]Paper   doi   link   bibtex  
A General Suspiciousness Metric for Dense Blocks in Multimodal Data. Jiang, M.; Beutel, A.; Cui, P.; Hooi, B.; Yang, S.; and Faloutsos, C. In Aggarwal, C. C.; Zhou, Z.; Tuzhilin, A.; Xiong, H.; and Wu, X., editor(s), 2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015, pages 781–786, 2015. IEEE Computer Society
A General Suspiciousness Metric for Dense Blocks in Multimodal Data [link]Paper   doi   link   bibtex  
Patterns in Interactive Tagging Networks. Yamaguchi, Y.; Yoshida, M.; Faloutsos, C.; and Kitagawa, H. In Cha, M.; Mascolo, C.; and Sandvig, C., editor(s), Proceedings of the Ninth International Conference on Web and Social Media, ICWSM 2015, University of Oxford, Oxford, UK, May 26-29, 2015, pages 513–522, 2015. AAAI Press
Patterns in Interactive Tagging Networks [link]Paper   link   bibtex  
RSC: Mining and Modeling Temporal Activity in Social Media. Costa, A. F.; Yamaguchi, Y.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. In Cao, L.; Zhang, C.; Joachims, T.; Webb, G. I.; Margineantu, D. D.; and Williams, G., editor(s), Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015, pages 269–278, 2015. ACM
RSC: Mining and Modeling Temporal Activity in Social Media [link]Paper   doi   link   bibtex  
TimeCrunch: Interpretable Dynamic Graph Summarization. Shah, N.; Koutra, D.; Zou, T.; Gallagher, B.; and Faloutsos, C. In Cao, L.; Zhang, C.; Joachims, T.; Webb, G. I.; Margineantu, D. D.; and Williams, G., editor(s), Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015, pages 1055–1064, 2015. ACM
TimeCrunch: Interpretable Dynamic Graph Summarization [link]Paper   doi   link   bibtex  
Graph-Based User Behavior Modeling: From Prediction to Fraud Detection. Beutel, A.; Akoglu, L.; and Faloutsos, C. In Cao, L.; Zhang, C.; Joachims, T.; Webb, G. I.; Margineantu, D. D.; and Williams, G., editor(s), Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015, pages 2309–2310, 2015. ACM
Graph-Based User Behavior Modeling: From Prediction to Fraud Detection [link]Paper   doi   link   bibtex  
Retweeting Activity on Twitter: Signs of Deception. Giatsoglou, M.; Chatzakou, D.; Shah, N.; Faloutsos, C.; and Vakali, A. In Cao, T. H.; Lim, E.; Zhou, Z.; Ho, T. B.; Cheung, D. W.; and Motoda, H., editor(s), Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, volume 9077, of Lecture Notes in Computer Science, pages 122–134, 2015. Springer
Retweeting Activity on Twitter: Signs of Deception [link]Paper   doi   link   bibtex  
ND-Sync: Detecting Synchronized Fraud Activities. Giatsoglou, M.; Chatzakou, D.; Shah, N.; Beutel, A.; Faloutsos, C.; and Vakali, A. In Cao, T. H.; Lim, E.; Zhou, Z.; Ho, T. B.; Cheung, D. W.; and Motoda, H., editor(s), Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, volume 9078, of Lecture Notes in Computer Science, pages 201–214, 2015. Springer
ND-Sync: Detecting Synchronized Fraud Activities [link]Paper   doi   link   bibtex  
SocNL: Bayesian Label Propagation with Confidence. Yamaguchi, Y.; Faloutsos, C.; and Kitagawa, H. In Cao, T. H.; Lim, E.; Zhou, Z.; Ho, T. B.; Cheung, D. W.; and Motoda, H., editor(s), Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, volume 9077, of Lecture Notes in Computer Science, pages 633–645, 2015. Springer
SocNL: Bayesian Label Propagation with Confidence [link]Paper   doi   link   bibtex  
Principled Neuro-Functional Connectivity Discovery. Huang, K.; Sidiropoulos, N. D.; Papalexakis, E. E.; Faloutsos, C.; Talukdar, P. P.; and Mitchell, T. M. In Venkatasubramanian, S.; and Ye, J., editor(s), Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30 - May 2, 2015, pages 631–639, 2015. SIAM
Principled Neuro-Functional Connectivity Discovery [link]Paper   doi   link   bibtex  
Mining and Forecasting of Big Time-series Data. Sakurai, Y.; Matsubara, Y.; and Faloutsos, C. In Sellis, T. K.; Davidson, S. B.; and Ives, Z. G., editor(s), Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015, pages 919–922, 2015. ACM
Mining and Forecasting of Big Time-series Data [link]Paper   doi   link   bibtex  
Modeling Website Popularity Competition in the Attention-Activity Marketplace. Ribeiro, B.; and Faloutsos, C. In Cheng, X.; Li, H.; Gabrilovich, E.; and Tang, J., editor(s), Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015, pages 389–398, 2015. ACM
Modeling Website Popularity Competition in the Attention-Activity Marketplace [link]Paper   doi   link   bibtex  
Extracting Taxonomies from Bipartite Graphs. Kötter, T.; Günnemann, S.; Faloutsos, C.; and Berthold, M. R. In Gangemi, A.; Leonardi, S.; and Panconesi, A., editor(s), Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion Volume, pages 51–52, 2015. ACM
Extracting Taxonomies from Bipartite Graphs [link]Paper   doi   link   bibtex  
Why Do You Follow Him?: Multilinear Analysis on Twitter. Yamaguchi, Y.; Yoshida, M.; Faloutsos, C.; and Kitagawa, H. In Gangemi, A.; Leonardi, S.; and Panconesi, A., editor(s), Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion Volume, pages 137–138, 2015. ACM
Why Do You Follow Him?: Multilinear Analysis on Twitter [link]Paper   doi   link   bibtex  
The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities. Matsubara, Y.; Sakurai, Y.; and Faloutsos, C. In Gangemi, A.; Leonardi, S.; and Panconesi, A., editor(s), Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015, pages 721–731, 2015. ACM
The Web as a Jungle: Non-Linear Dynamical Systems for Co-evolving Online Activities [link]Paper   doi   link   bibtex  
Large Graph Analysis in the GMine System. Jr., J. F. R.; Tong, H.; Pan, J.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. CoRR, abs/1505.07777. 2015.
Large Graph Analysis in the GMine System [link]Paper   link   bibtex  
GMine: A System for Scalable, Interactive Graph Visualization and Mining. Jr., J. F. R.; Tong, H.; Traina, A. J. M.; Faloutsos, C.; and Leskovec, J. CoRR, abs/1506.03847. 2015.
GMine: A System for Scalable, Interactive Graph Visualization and Mining [link]Paper   link   bibtex  
SuperGraph Visualization. Jr., J. F. R.; Traina, A. J. M.; Faloutsos, C.; and Jr., C. T. CoRR, abs/1506.04606. 2015.
SuperGraph Visualization [link]Paper   link   bibtex  
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. Shah, N.; Beutel, A.; Hooi, B.; Akoglu, L.; Günnemann, S.; Makhija, D.; Kumar, M.; and Faloutsos, C. CoRR, abs/1510.05544. 2015.
EdgeCentric: Anomaly Detection in Edge-Attributed Networks [link]Paper   link   bibtex  
TribeFlow: Mining & Predicting User Trajectories. de Figueiredo, F. V. D.; Ribeiro, B.; Almeida, J. M.; and Faloutsos, C. CoRR, abs/1511.01032. 2015.
TribeFlow: Mining & Predicting User Trajectories [link]Paper   link   bibtex  
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. Hooi, B.; Shah, N.; Beutel, A.; Günnemann, S.; Akoglu, L.; Kumar, M.; Makhija, D.; and Faloutsos, C. CoRR, abs/1511.06030. 2015.
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection [link]Paper   link   bibtex  
  2014 (46)
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. Papalexakis, E. E.; Fyshe, A.; Sidiropoulos, N. D.; Talukdar, P. P.; Mitchell, T. M.; and Faloutsos, C. Big Data, 2(4): 216–229. 2014.
Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments [link]Paper   doi   link   bibtex  
QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases. Cordeiro, R. L. F.; Guo, F.; Haverkamp, D. S.; Horne, J. H.; Hughes, E. K.; Kim, G.; Romani, L. A. S.; Coltri, P. P.; Souza, T. T.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. Inf. Sci., 264: 211–229. 2014.
QuMinS: Fast and scalable querying, mining and summarizing multi-modal databases [link]Paper   doi   link   bibtex  
Accurate Approximation of the Earth Mover's Distance in Linear Time. Jang, M.; Kim, S.; Faloutsos, C.; and Park, S. J. Comput. Sci. Technol., 29(1): 142–154. 2014.
Accurate Approximation of the Earth Mover's Distance in Linear Time [link]Paper   doi   link   bibtex  
Efficiently spotting the starting points of an epidemic in a large graph. Prakash, B. A.; Vreeken, J.; and Faloutsos, C. Knowl. Inf. Syst., 38(1): 35–59. 2014.
Efficiently spotting the starting points of an epidemic in a large graph [link]Paper   doi   link   bibtex  
SharkFin: Spatio-temporal mining of software adoption and penetration. Papalexakis, E. E.; Dumitras, T.; Chau, D. H.; Prakash, B. A.; and Faloutsos, C. Soc. Netw. Anal. Min., 4(1): 240. 2014.
SharkFin: Spatio-temporal mining of software adoption and penetration [link]Paper   doi   link   bibtex  
Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition. Sidiropoulos, N. D.; Papalexakis, E. E.; and Faloutsos, C. IEEE Signal Process. Mag., 31(5): 57–70. 2014.
Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition [link]Paper   doi   link   bibtex  
On Constructing Seminal Paper Genealogy. Bae, D.; Hwang, S.; Kim, S.; and Faloutsos, C. IEEE Trans. Cybern., 44(1): 54–65. 2014.
On Constructing Seminal Paper Genealogy [link]Paper   doi   link   bibtex  
HEigen: Spectral Analysis for Billion-Scale Graphs. Kang, U; Meeder, B.; Papalexakis, E. E.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 26(2): 350–362. 2014.
HEigen: Spectral Analysis for Billion-Scale Graphs [link]Paper   doi   link   bibtex  
SlashBurn: Graph Compression and Mining beyond Caveman Communities. Lim, Y.; Kang, U; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 26(12): 3077–3089. 2014.
SlashBurn: Graph Compression and Mining beyond Caveman Communities [link]Paper   doi   link   bibtex  
A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP). Sidiropoulos, N. D.; Papalexakis, E. E.; and Faloutsos, C. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014, pages 1–5, 2014. IEEE
A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP) [link]Paper   doi   link   bibtex  
VoidWiz: Resolving incompleteness using network effects. Christodoulakis, C.; Faloutsos, C.; and Miller, R. J. In Cruz, I. F.; Ferrari, E.; Tao, Y.; Bertino, E.; and Trajcevski, G., editor(s), IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014, IL, USA, March 31 - April 4, 2014, pages 1230–1233, 2014. IEEE Computer Society
VoidWiz: Resolving incompleteness using network effects [link]Paper   doi   link   bibtex   8 downloads  
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. Shah, N.; Beutel, A.; Gallagher, B.; and Faloutsos, C. In Kumar, R.; Toivonen, H.; Pei, J.; Huang, J. Z.; and Wu, X., editor(s), 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014, pages 959–964, 2014. IEEE Computer Society
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective [link]Paper   doi   link   bibtex  
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments. Papalexakis, E. E.; Fyshe, A.; Sidiropoulos, N. D.; Talukdar, P. P.; Mitchell, T. M.; and Faloutsos, C. In Macskassy, S. A.; Perlich, C.; Leskovec, J.; Wang, W.; and Ghani, R., editor(s), The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 95–104, 2014. ACM
Good-enough brain model: challenges, algorithms and discoveries in multi-subject experiments [link]Paper   doi   link   bibtex  
FUNNEL: automatic mining of spatially coevolving epidemics. Matsubara, Y.; Sakurai, Y.; van Panhuis, W. G.; and Faloutsos, C. In Macskassy, S. A.; Perlich, C.; Leskovec, J.; Wang, W.; and Ghani, R., editor(s), The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 105–114, 2014. ACM
FUNNEL: automatic mining of spatially coevolving epidemics [link]Paper   doi   link   bibtex  
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution. Günnemann, S.; Günnemann, N.; and Faloutsos, C. In Macskassy, S. A.; Perlich, C.; Leskovec, J.; Wang, W.; and Ghani, R., editor(s), The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 841–850, 2014. ACM
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution [link]Paper   doi   link   bibtex  
CatchSync: catching synchronized behavior in large directed graphs. Jiang, M.; Cui, P.; Beutel, A.; Faloutsos, C.; and Yang, S. In Macskassy, S. A.; Perlich, C.; Leskovec, J.; Wang, W.; and Ghani, R., editor(s), The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 941–950, 2014. ACM
CatchSync: catching synchronized behavior in large directed graphs [link]Paper   doi   link   bibtex  
MalSpot: Multi2 Malicious Network Behavior Patterns Analysis. Mao, C.; Wu, C.; Papalexakis, E. E.; Faloutsos, C.; Lee, K.; and Kao, T. In Tseng, V. S.; Ho, T. B.; Zhou, Z.; Chen, A. L. P.; and Kao, H., editor(s), Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I, volume 8443, of Lecture Notes in Computer Science, pages 1–14, 2014. Springer
MalSpot: Multi2 Malicious Network Behavior Patterns Analysis [link]Paper   doi   link   bibtex  
Inferring Strange Behavior from Connectivity Pattern in Social Networks. Jiang, M.; Cui, P.; Beutel, A.; Faloutsos, C.; and Yang, S. In Tseng, V. S.; Ho, T. B.; Zhou, Z.; Chen, A. L. P.; and Kao, H., editor(s), Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I, volume 8443, of Lecture Notes in Computer Science, pages 126–138, 2014. Springer
Inferring Strange Behavior from Connectivity Pattern in Social Networks [link]Paper   doi   link   bibtex  
Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter. Juan, D.; Li, L.; Peng, H.; Marculescu, D.; and Faloutsos, C. In Tseng, V. S.; Ho, T. B.; Zhou, Z.; Chen, A. L. P.; and Kao, H., editor(s), Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II, volume 8444, of Lecture Notes in Computer Science, pages 198–209, 2014. Springer
Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter [link]Paper   doi   link   bibtex  
Com2: Fast Automatic Discovery of Temporal ('Comet') Communities. Araujo, M.; Papadimitriou, S.; Günnemann, S.; Faloutsos, C.; Basu, P.; Swami, A.; Papalexakis, E. E.; and Koutra, D. In Tseng, V. S.; Ho, T. B.; Zhou, Z.; Chen, A. L. P.; and Kao, H., editor(s), Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II, volume 8444, of Lecture Notes in Computer Science, pages 271–283, 2014. Springer
Com2: Fast Automatic Discovery of Temporal ('Comet') Communities [link]Paper   doi   link   bibtex  
Net-Ray: Visualizing and Mining Billion-Scale Graphs. Kang, U; Lee, J. Y.; Koutra, D.; and Faloutsos, C. In Tseng, V. S.; Ho, T. B.; Zhou, Z.; Chen, A. L. P.; and Kao, H., editor(s), Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I, volume 8443, of Lecture Notes in Computer Science, pages 348–361, 2014. Springer
Net-Ray: Visualizing and Mining Billion-Scale Graphs [link]Paper   doi   link   bibtex  
Influence Propagation: Patterns, Model and a Case Study. Lin, Y.; Raza, A. A.; Lee, J. Y.; Koutra, D.; Rosenfeld, R.; and Faloutsos, C. In Tseng, V. S.; Ho, T. B.; Zhou, Z.; Chen, A. L. P.; and Kao, H., editor(s), Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I, volume 8443, of Lecture Notes in Computer Science, pages 386–397, 2014. Springer
Influence Propagation: Patterns, Model and a Case Study [link]Paper   doi   link   bibtex  
Fault-Tolerant Concept Detection in Information Networks. Kötter, T.; Günnemann, S.; Berthold, M. R.; and Faloutsos, C. In Tseng, V. S.; Ho, T. B.; Zhou, Z.; Chen, A. L. P.; and Kao, H., editor(s), Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part I, volume 8443, of Lecture Notes in Computer Science, pages 410–421, 2014. Springer
Fault-Tolerant Concept Detection in Information Networks [link]Paper   doi   link   bibtex  
Beyond Blocks: Hyperbolic Community Detection. Araujo, M.; Günnemann, S.; Mateos, G.; and Faloutsos, C. In Calders, T.; Esposito, F.; Hüllermeier, E.; and Meo, R., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I, volume 8724, of Lecture Notes in Computer Science, pages 50–65, 2014. Springer
Beyond Blocks: Hyperbolic Community Detection [link]Paper   doi   link   bibtex  
PowerScope: Early Event Detection and Identification in Electric Power Systems. Weng, Y.; Faloutsos, C.; and Ilic, M. D. In Woon, W. L.; Aung, Z.; and Madnick, S. E., editor(s), Data Analytics for Renewable Energy Integration - Second ECML PKDD Workshop, DARE 2014, Nancy, France, September 19, 2014, Revised Selected Papers, volume 8817, of Lecture Notes in Computer Science, pages 67–80, 2014. Springer
PowerScope: Early Event Detection and Identification in Electric Power Systems [link]Paper   doi   link   bibtex  
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. de Figueiredo, F. V. D.; Almeida, J. M.; Matsubara, Y.; Ribeiro, B.; and Faloutsos, C. In Calders, T.; Esposito, F.; Hüllermeier, E.; and Meo, R., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I, volume 8724, of Lecture Notes in Computer Science, pages 386–401, 2014. Springer
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries [link]Paper   doi   link   bibtex  
Interestingness-Driven Diffusion Process Summarization in Dynamic Networks. Qu, Q.; Liu, S.; Jensen, C. S.; Zhu, F.; and Faloutsos, C. In Calders, T.; Esposito, F.; Hüllermeier, E.; and Meo, R., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II, volume 8725, of Lecture Notes in Computer Science, pages 597–613, 2014. Springer
Interestingness-Driven Diffusion Process Summarization in Dynamic Networks [link]Paper   doi   link   bibtex  
VOG: Summarizing and Understanding Large Graphs. Koutra, D.; Kang, U; Vreeken, J.; and Faloutsos, C. In Zaki, M. J.; Obradovic, Z.; Tan, P.; Banerjee, A.; Kamath, C.; and Parthasarathy, S., editor(s), Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014, pages 91–99, 2014. SIAM
VOG: Summarizing and Understanding Large Graphs [link]Paper   doi   link   bibtex  
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop. Beutel, A.; Talukdar, P. P.; Kumar, A.; Faloutsos, C.; Papalexakis, E. E.; and Xing, E. P. In Zaki, M. J.; Obradovic, Z.; Tan, P.; Banerjee, A.; Kamath, C.; and Parthasarathy, S., editor(s), Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014, pages 109–117, 2014. SIAM
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop [link]Paper   doi   link   bibtex  
Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x. Papalexakis, E. E.; Faloutsos, C.; Mitchell, T. M.; Talukdar, P. P.; Sidiropoulos, N. D.; and Murphy, B. In Zaki, M. J.; Obradovic, Z.; Tan, P.; Banerjee, A.; Kamath, C.; and Parthasarathy, S., editor(s), Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014, pages 118–126, 2014. SIAM
Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200x [link]Paper   doi   link   bibtex  
AutoPlait: automatic mining of co-evolving time sequences. Matsubara, Y.; Sakurai, Y.; and Faloutsos, C. In Dyreson, C. E.; Li, F.; and Özsu, M. T., editor(s), International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014, pages 193–204, 2014. ACM
AutoPlait: automatic mining of co-evolving time sequences [link]Paper   doi   link   bibtex  
Data-driven topology estimation. Weng, Y.; Faloutsos, C.; and Ilic, M. D. In 2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014, Venice, Italy, November 3-6, 2014, pages 560–565, 2014. IEEE
Data-driven topology estimation [link]Paper   doi   link   bibtex  
Large graph mining: patterns, cascades, fraud detection, and algorithms. Faloutsos, C. In Chung, C.; Broder, A. Z.; Shim, K.; and Suel, T., editor(s), 23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, pages 1–2, 2014. ACM
Large graph mining: patterns, cascades, fraud detection, and algorithms [link]Paper   doi   link   bibtex  
CoBaFi: collaborative bayesian filtering. Beutel, A.; Murray, K.; Faloutsos, C.; and Smola, A. J. In Chung, C.; Broder, A. Z.; Shim, K.; and Suel, T., editor(s), 23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, pages 97–108, 2014. ACM
CoBaFi: collaborative bayesian filtering [link]Paper   doi   link   bibtex  
Trust prediction using positive, implicit, and negative information. Jang, M.; Faloutsos, C.; and Kim, S. In Chung, C.; Broder, A. Z.; Shim, K.; and Suel, T., editor(s), 23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume, pages 303–304, 2014. ACM
Trust prediction using positive, implicit, and negative information [link]Paper   doi   link   bibtex  
Detecting suspicious following behavior in multimillion-node social networks. Jiang, M.; Cui, P.; Beutel, A.; Faloutsos, C.; and Yang, S. In Chung, C.; Broder, A. Z.; Shim, K.; and Suel, T., editor(s), 23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume, pages 305–306, 2014. ACM
Detecting suspicious following behavior in multimillion-node social networks [link]Paper   doi   link   bibtex  
Robust multivariate autoregression for anomaly detection in dynamic product ratings. Günnemann, N.; Günnemann, S.; and Faloutsos, C. In Chung, C.; Broder, A. Z.; Shim, K.; and Suel, T., editor(s), 23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, pages 361–372, 2014. ACM
Robust multivariate autoregression for anomaly detection in dynamic product ratings [link]Paper   doi   link   bibtex  
Spotting misbehaviors in location-based social networks using tensors. Papalexakis, E. E.; Pelechrinis, K.; and Faloutsos, C. In Chung, C.; Broder, A. Z.; Shim, K.; and Suel, T., editor(s), 23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume, pages 551–552, 2014. ACM
Spotting misbehaviors in location-based social networks using tensors [link]Paper   doi   link   bibtex  
Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries. Kang, U; and Faloutsos, C. In Gkoulalas-Divanis, A.; and Labbi, A., editor(s), Large-Scale Data Analytics, pages 75–99. Springer, 2014.
Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries [link]Paper   doi   link   bibtex  
Modeling Website Popularity Competition in the Attention-Activity Marketplace. Ribeiro, B.; and Faloutsos, C. CoRR, abs/1403.0600. 2014.
Modeling Website Popularity Competition in the Attention-Activity Marketplace [link]Paper   link   bibtex  
Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times. de Melo, P. O. S. V.; Faloutsos, C.; Assunção, R. M.; Alves, R.; and Loureiro, A. A. F. CoRR, abs/1403.4997. 2014.
Universal and Distinct Properties of Communication Dynamics: How to Generate Realistic Inter-event Times [link]Paper   link   bibtex  
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. de Figueiredo, F. V. D.; Almeida, J. M.; Matsubara, Y.; Ribeiro, B.; and Faloutsos, C. CoRR, abs/1405.1459. 2014.
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries [link]Paper   link   bibtex  
VoG: Summarizing and Understanding Large Graphs. Koutra, D.; Kang, U; Vreeken, J.; and Faloutsos, C. CoRR, abs/1406.3411. 2014.
VoG: Summarizing and Understanding Large Graphs [link]Paper   link   bibtex  
Linearized and Turbo Belief Propagation. Gatterbauer, W.; Günnemann, S.; Koutra, D.; and Faloutsos, C. CoRR, abs/1406.7288. 2014.
Linearized and Turbo Belief Propagation [link]Paper   link   bibtex  
Standards for Graph Algorithm Primitives. Mattson, T.; Bader, D. A.; Berry, J. W.; Buluç, A.; Dongarra, J. J.; Faloutsos, C.; Feo, J.; Gilbert, J. R.; Gonzalez, J.; Hendrickson, B.; Kepner, J.; Leiserson, C. E.; Lumsdaine, A.; Padua, D. A.; Poole, S. W.; Reinhardt, S. P.; Stonebraker, M.; Wallach, S.; and Yoo, A. CoRR, abs/1408.0393. 2014.
Standards for Graph Algorithm Primitives [link]Paper   link   bibtex  
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective. Shah, N.; Beutel, A.; Gallagher, B.; and Faloutsos, C. CoRR, abs/1410.3915. 2014.
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective [link]Paper   link   bibtex  
  2013 (33)
Data Mining in Large Sets of Complex Data. Cordeiro, R. L. F.; Faloutsos, C.; and Jr., C. T. of Springer Briefs in Computer ScienceSpringer, 2013.
Data Mining in Large Sets of Complex Data [link]Paper   doi   link   bibtex  
Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG. Kim, S.; Faloutsos, C.; and Yang, H. Comput. Math. Methods Medicine, 2013: 545613:1–545613:12. 2013.
Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG [link]Paper   doi   link   bibtex  
Large Scale Tensor Decompositions: Algorithmic Developments and Applications. Papalexakis, E. E.; Kang, U; Faloutsos, C.; Sidiropoulos, N. D.; and Harpale, A. IEEE Data Eng. Bull., 36(3): 59–66. 2013.
Large Scale Tensor Decompositions: Algorithmic Developments and Applications [pdf]Paper   link   bibtex  
Competing Memes Propagation on Networks: A Network Science Perspective. Wei, X.; Valler, N.; Prakash, B. A.; Neamtiu, I.; Faloutsos, M.; and Faloutsos, C. IEEE J. Sel. Areas Commun., 31(6): 1049–1060. 2013.
Competing Memes Propagation on Networks: A Network Science Perspective [link]Paper   doi   link   bibtex  
Large Graph Analysis in the GMine System. Jr., J. F. R.; Tong, H.; Pan, J.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 25(1): 106–118. 2013.
Large Graph Analysis in the GMine System [link]Paper   doi   link   bibtex  
Halite: Fast and Scalable Multiresolution Local-Correlation Clustering. Cordeiro, R. L. F.; Traina, A. J. M.; Faloutsos, C.; and Jr., C. T. IEEE Trans. Knowl. Data Eng., 25(2): 387–401. 2013.
Halite: Fast and Scalable Multiresolution Local-Correlation Clustering [link]Paper   doi   link   bibtex  
TSum: fast, principled table summarization. Chen, J.; Pan, J.; Faloutsos, C.; and Papadimitriou, S. In Saka, E.; Shen, D.; Gao, B.; Yan, J.; and Li, Y., editor(s), Proceedings of the Seventh International Workshop on Data Mining for Online Advertising, ADKDD '13, Chicago, Illinois, USA, August 11, 2013, pages 2:1–2:9, 2013. ACM
TSum: fast, principled table summarization [link]Paper   doi   link   bibtex  
Spatio-temporal mining of software adoption & penetration. Papalexakis, E. E.; Dumitras, T.; Chau, D. H. (.; Prakash, B. A.; and Faloutsos, C. In Rokne, J. G.; and Faloutsos, C., editor(s), Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013, pages 878–885, 2013. ACM
Spatio-temporal mining of software adoption & penetration [link]Paper   doi   link   bibtex  
Analysis of the reputation system and user contributions on a question answering website: StackOverflow. Movshovitz-Attias, D.; Movshovitz-Attias, Y.; Steenkiste, P.; and Faloutsos, C. In Rokne, J. G.; and Faloutsos, C., editor(s), Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013, pages 886–893, 2013. ACM
Analysis of the reputation system and user contributions on a question answering website: StackOverflow [link]Paper   doi   link   bibtex  
Network similarity via multiple social theories. Berlingerio, M.; Koutra, D.; Eliassi-Rad, T.; and Faloutsos, C. In Rokne, J. G.; and Faloutsos, C., editor(s), Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013, pages 1439–1440, 2013. ACM
Network similarity via multiple social theories [link]Paper   doi   link   bibtex  
MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases. Xia, G.; Huang, T.; Ma, Y.; Dannenberg, R. B.; and Faloutsos, C. In Aramaki, M.; Derrien, O.; Kronland-Martinet, R.; and Ystad, S., editor(s), Sound, Music, and Motion - 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers, volume 8905, of Lecture Notes in Computer Science, pages 259–276, 2013. Springer
MidiFind: Similarity Search and Popularity Mining in Large MIDI Databases [link]Paper   doi   link   bibtex  
Standards for graph algorithm primitives. Mattson, T.; Bader, D. A.; Berry, J. W.; Buluç, A.; Dongarra, J. J.; Faloutsos, C.; Feo, J.; Gilbert, J. R.; Gonzalez, J.; Hendrickson, B.; Kepner, J.; Leiserson, C. E.; Lumsdaine, A.; Padua, D. A.; Poole, S.; Reinhardt, S. P.; Stonebraker, M.; Wallach, S.; and Yoo, A. In IEEE High Performance Extreme Computing Conference, HPEC 2013, Waltham, MA, USA, September 10-12, 2013, pages 1–2, 2013. IEEE
Standards for graph algorithm primitives [link]Paper   doi   link   bibtex  
Mixed Membership Subspace Clustering. Günnemann, S.; and Faloutsos, C. In Xiong, H.; Karypis, G.; Thuraisingham, B.; Cook, D. J.; and Wu, X., editor(s), 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, pages 221–230, 2013. IEEE Computer Society
Mixed Membership Subspace Clustering [link]Paper   doi   link   bibtex  
Opinion Fraud Detection in Online Reviews by Network Effects. Akoglu, L.; Chandy, R.; and Faloutsos, C. In Kiciman, E.; Ellison, N. B.; Hogan, B.; Resnick, P.; and Soboroff, I., editor(s), Proceedings of the Seventh International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11, 2013, 2013. The AAAI Press
Opinion Fraud Detection in Online Reviews by Network Effects [link]Paper   link   bibtex  
Why people hate your app: making sense of user feedback in a mobile app store. Fu, B.; Lin, J.; Li, L.; Faloutsos, C.; Hong, J. I.; and Sadeh, N. M. In Dhillon, I. S.; Koren, Y.; Ghani, R.; Senator, T. E.; Bradley, P.; Parekh, R.; He, J.; Grossman, R. L.; and Uthurusamy, R., editor(s), The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013, pages 1276–1284, 2013. ACM
Why people hate your app: making sense of user feedback in a mobile app store [link]Paper   doi   link   bibtex  
Detecting insider threats in a real corporate database of computer usage activity. Senator, T. E.; Goldberg, H. G.; Memory, A.; Young, W. T.; Rees, B.; Pierce, R.; Huang, D.; Reardon, M.; Bader, D. A.; Chow, E.; Essa, I. A.; Jones, J.; Bettadapura, V.; Chau, D. H.; Green, O.; Kaya, O.; Zakrzewska, A.; Briscoe, E.; IV, R. L. M.; McColl, R.; Weiss, L.; Dietterich, T. G.; Fern, A.; Wong, W.; Das, S.; Emmott, A.; Irvine, J.; Lee, J. Y.; Koutra, D.; Faloutsos, C.; Corkill, D. D.; Friedland, L.; Gentzel, A.; and Jensen, D. D. In Dhillon, I. S.; Koren, Y.; Ghani, R.; Senator, T. E.; Bradley, P.; Parekh, R.; He, J.; Grossman, R. L.; and Uthurusamy, R., editor(s), The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013, pages 1393–1401, 2013. ACM
Detecting insider threats in a real corporate database of computer usage activity [link]Paper   doi   link   bibtex  
Smartphone viruses propagation on heterogeneous composite networks. Wei, X.; Valler, N.; Faloutsos, M.; Neamtiu, I.; Prakash, B. A.; and Faloutsos, C. In Proceedings of the 2nd IEEE Network Science Workshop, NSW 2013, April 29 - May 1, 2013, Thayer Hotel, West Point, NY, USA, pages 106–109, 2013. IEEE Computer Society
Smartphone viruses propagation on heterogeneous composite networks [link]Paper   doi   link   bibtex  
F-Trail: Finding Patterns in Taxi Trajectories. Matsubara, Y.; Li, L.; Papalexakis, E. E.; Lo, D.; Sakurai, Y.; and Faloutsos, C. In Pei, J.; Tseng, V. S.; Cao, L.; Motoda, H.; and Xu, G., editor(s), Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I, volume 7818, of Lecture Notes in Computer Science, pages 86–98, 2013. Springer
F-Trail: Finding Patterns in Taxi Trajectories [link]Paper   doi   link   bibtex  
EEG-MINE: Mining and Understanding Epilepsy Data. Kim, S.; Faloutsos, C.; and Yang, H. In Li, J.; Cao, L.; Wang, C.; Tan, K. C.; Liu, B.; Pei, J.; and Tseng, V. S., editor(s), Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2013 International Workshops: DMApps, DANTH, QIMIE, BDM, CDA, CloudSD, Gold Coast, QLD, Australia, April 14-17, 2013, Revised Selected Papers, volume 7867, of Lecture Notes in Computer Science, pages 155–167, 2013. Springer
EEG-MINE: Mining and Understanding Epilepsy Data [link]Paper   doi   link   bibtex  
Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model. Koutra, D.; Koutras, V.; Prakash, B. A.; and Faloutsos, C. In Pei, J.; Tseng, V. S.; Cao, L.; Motoda, H.; and Xu, G., editor(s), Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I, volume 7818, of Lecture Notes in Computer Science, pages 201–212, 2013. Springer
Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model [link]Paper   doi   link   bibtex  
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks. Bogdanov, P.; Faloutsos, C.; Mongiovì, M.; Papalexakis, E. E.; Ranca, R.; and Singh, A. K. In Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA, pages 28–36, 2013. SIAM
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks [link]Paper   doi   link   bibtex  
Mining Connection Pathways for Marked Nodes in Large Graphs. Akoglu, L.; Chau, D. H.; Faloutsos, C.; Tatti, N.; Tong, H.; and Vreeken, J. In Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA, pages 37–45, 2013. SIAM
Mining Connection Pathways for Marked Nodes in Large Graphs [link]Paper   doi   link   bibtex  
DELTACON: A Principled Massive-Graph Similarity Function. Faloutsos, C.; Koutra, D.; and Vogelstein, J. T. In Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA, pages 162–170, 2013. SIAM
DELTACON: A Principled Massive-Graph Similarity Function [link]Paper   doi   link   bibtex  
Fractional Immunization in Networks. Adamic, L. A.; Faloutsos, C.; Iwashyna, T. J.; Prakash, B. A.; and Tong, H. In Proceedings of the 13th SIAM International Conference on Data Mining, May 2-4, 2013. Austin, Texas, USA, pages 659–667, 2013. SIAM
Fractional Immunization in Networks [link]Paper   doi   link   bibtex  
Anomaly, event, and fraud detection in large network datasets. Akoglu, L.; and Faloutsos, C. In Leonardi, S.; Panconesi, A.; Ferragina, P.; and Gionis, A., editor(s), Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, February 4-8, 2013, pages 773–774, 2013. ACM
Anomaly, event, and fraud detection in large network datasets [link]Paper   doi   link   bibtex  
CopyCatch: stopping group attacks by spotting lockstep behavior in social networks. Beutel, A.; Xu, W.; Guruswami, V.; Palow, C.; and Faloutsos, C. In Schwabe, D.; Almeida, V. A. F.; Glaser, H.; Baeza-Yates, R.; and Moon, S. B., editor(s), 22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, pages 119–130, 2013. International World Wide Web Conferences Steering Committee / ACM
CopyCatch: stopping group attacks by spotting lockstep behavior in social networks [link]Paper   doi   link   bibtex  
Fast anomaly detection despite the duplicates. Lee, J. Y.; Kang, U; Koutra, D.; and Faloutsos, C. In Carr, L.; Laender, A. H. F.; Lóscio, B. F.; King, I.; Fontoura, M.; Vrandecic, D.; Aroyo, L.; de Oliveira, J. P. M.; Lima, F.; and Wilde, E., editor(s), 22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume, pages 195–196, 2013. International World Wide Web Conferences Steering Committee / ACM
Fast anomaly detection despite the duplicates [link]Paper   doi   link   bibtex  
The self-feeding process: a unifying model for communication dynamics in the web. de Melo, P. O. S. V.; Faloutsos, C.; Assunção, R. M.; and Loureiro, A. A. F. In Schwabe, D.; Almeida, V. A. F.; Glaser, H.; Baeza-Yates, R.; and Moon, S. B., editor(s), 22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, pages 1319–1330, 2013. International World Wide Web Conferences Steering Committee / ACM
The self-feeding process: a unifying model for communication dynamics in the web [link]Paper   doi   link   bibtex  
Dimensionality Reduction and Filtering on Time Series Sensor Streams. Papadimitriou, S.; Sun, J.; Faloutsos, C.; and Yu, P. S. In Aggarwal, C. C., editor(s), Managing and Mining Sensor Data, pages 103–141. Springer, 2013.
Dimensionality Reduction and Filtering on Time Series Sensor Streams [link]Paper   doi   link   bibtex  
Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013. Rokne, J. G.; and Faloutsos, C., editors. ACM. 2013.
Advances in Social Networks Analysis and Mining 2013, ASONAM '13, Niagara, ON, Canada - August 25 - 29, 2013 [link]Paper   doi   link   bibtex  
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, IDEA@KDD 2013, Chicago, Illinois, USA, August 11, 2013. Chau, D. H.; Vreeken, J.; van Leeuwen, M.; and Faloutsos, C., editors. ACM. 2013.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, IDEA@KDD 2013, Chicago, Illinois, USA, August 11, 2013 [link]Paper   doi   link   bibtex  
Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization. Papalexakis, E. E.; Mitchell, T. M.; Sidiropoulos, N. D.; Faloutsos, C.; Talukdar, P. P.; and Murphy, B. CoRR, abs/1302.7043. 2013.
Scoup-SMT: Scalable Coupled Sparse Matrix-Tensor Factorization [link]Paper   link   bibtex  
DELTACON: A Principled Massive-Graph Similarity Function. Koutra, D.; Vogelstein, J. T.; and Faloutsos, C. CoRR, abs/1304.4657. 2013.
DELTACON: A Principled Massive-Graph Similarity Function [link]Paper   link   bibtex  
  2012 (37)
Graph Mining: Laws, Tools, and Case Studies. Chakrabarti, D.; and Faloutsos, C. of Synthesis Lectures on Data Mining and Knowledge DiscoveryMorgan & Claypool Publishers, 2012.
Graph Mining: Laws, Tools, and Case Studies [link]Paper   doi   link   bibtex  
Competing memes propagation on networks: a case study of composite networks. Wei, X.; Valler, N.; Prakash, B. A.; Neamtiu, I.; Faloutsos, M.; and Faloutsos, C. Comput. Commun. Rev., 42(5): 5–12. 2012.
Competing memes propagation on networks: a case study of composite networks [link]Paper   doi   link   bibtex  
Top-10 Data Mining Case Studies. Melli, G.; Wu, X.; Beinat, P.; Bonchi, F.; Cao, L.; Duan, R.; Faloutsos, C.; Ghani, R.; Kitts, B.; Goethals, B.; McLachlan, G. J.; Pei, J.; Srivastava, A.; and Zaïane, O. R. Int. J. Inf. Technol. Decis. Mak., 11(2): 389–400. 2012.
Top-10 Data Mining Case Studies [link]Paper   doi   link   bibtex  
MultiAspectForensics: mining large heterogeneous networks using tensor. Maruhashi, K.; Guo, F.; and Faloutsos, C. Int. J. Web Eng. Technol., 7(4): 302–322. 2012.
MultiAspectForensics: mining large heterogeneous networks using tensor [link]Paper   doi   link   bibtex  
Gateway finder in large graphs: problem definitions and fast solutions. Tong, H.; Papadimitriou, S.; Faloutsos, C.; Yu, P. S.; and Eliassi-Rad, T. Inf. Retr., 15(3-4): 391–411. 2012.
Gateway finder in large graphs: problem definitions and fast solutions [link]Paper   doi   link   bibtex  
An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection. Pao, H.; Mao, C.; Lee, H.; Chen, C.; and Faloutsos, C. J. Inf. Sci. Eng., 28(2): 243–262. 2012.
An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection [link]Paper   link   bibtex  
Threshold conditions for arbitrary cascade models on arbitrary networks. Prakash, B. A.; Chakrabarti, D.; Valler, N.; Faloutsos, M.; and Faloutsos, C. Knowl. Inf. Syst., 33(3): 549–575. 2012.
Threshold conditions for arbitrary cascade models on arbitrary networks [link]Paper   doi   link   bibtex  
V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors. Metwally, A.; and Faloutsos, C. Proc. VLDB Endow., 5(8): 704–715. 2012.
V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors [pdf]Paper   doi   link   bibtex  
Understanding and Managing Cascades on Large Graphs. Prakash, B. A.; and Faloutsos, C. Proc. VLDB Endow., 5(12): 2024–2025. 2012.
Understanding and Managing Cascades on Large Graphs [pdf]Paper   doi   link   bibtex  
Big graph mining: algorithms and discoveries. Kang, U; and Faloutsos, C. SIGKDD Explor., 14(2): 29–36. 2012.
Big graph mining: algorithms and discoveries [link]Paper   doi   link   bibtex  
Forecasting in the NBA and other team sports: Network effects in action. de Melo, P. O. S. V.; Almeida, V. A. F.; Loureiro, A. A. F.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 6(3): 13:1–13:27. 2012.
Forecasting in the NBA and other team sports: Network effects in action [link]Paper   doi   link   bibtex  
gbase: an efficient analysis platform for large graphs. Kang, U; Tong, H.; Sun, J.; Lin, C.; and Faloutsos, C. VLDB J., 21(5): 637–650. 2012.
gbase: an efficient analysis platform for large graphs [link]Paper   doi   link   bibtex  
Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. Chau, D. H.; Akoglu, L.; Vreeken, J.; Tong, H.; and Faloutsos, C. In International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey, 26-29 August 2012, pages 696–698, 2012. IEEE Computer Society
Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs [link]Paper   doi   link   bibtex  
Gelling, and melting, large graphs by edge manipulation. Tong, H.; Prakash, B. A.; Eliassi-Rad, T.; Faloutsos, M.; and Faloutsos, C. In Chen, X.; Lebanon, G.; Wang, H.; and Zaki, M. J., editor(s), 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, pages 245–254, 2012. ACM
Gelling, and melting, large graphs by edge manipulation [link]Paper   doi   link   bibtex  
Fast and reliable anomaly detection in categorical data. Akoglu, L.; Tong, H.; Vreeken, J.; and Faloutsos, C. In Chen, X.; Lebanon, G.; Wang, H.; and Zaki, M. J., editor(s), 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, pages 415–424, 2012. ACM
Fast and reliable anomaly detection in categorical data [link]Paper   doi   link   bibtex  
Top-N recommendation through belief propagation. Ha, J.; Kwon, S.; Kim, S.; Faloutsos, C.; and Park, S. In Chen, X.; Lebanon, G.; Wang, H.; and Zaki, M. J., editor(s), 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, pages 2343–2346, 2012. ACM
Top-N recommendation through belief propagation [link]Paper   doi   link   bibtex  
Pegasus: Mining billion-scale graphs in the cloud. Kang, U; Chau, D. H.; and Faloutsos, C. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, March 25-30, 2012, pages 5341–5344, 2012. IEEE
Pegasus: Mining billion-scale graphs in the cloud [link]Paper   doi   link   bibtex  
Spotting Culprits in Epidemics: How Many and Which Ones?. Prakash, B. A.; Vreeken, J.; and Faloutsos, C. In Zaki, M. J.; Siebes, A.; Yu, J. X.; Goethals, B.; Webb, G. I.; and Wu, X., editor(s), 12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012, pages 11–20, 2012. IEEE Computer Society
Spotting Culprits in Epidemics: How Many and Which Ones? [link]Paper   doi   link   bibtex  
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks. Maruhashi, K.; Shigezumi, J.; Yugami, N.; and Faloutsos, C. In Vreeken, J.; Ling, C.; Zaki, M. J.; Siebes, A.; Yu, J. X.; Goethals, B.; Webb, G. I.; and Wu, X., editor(s), 12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012, pages 234–241, 2012. IEEE Computer Society
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks [link]Paper   doi   link   bibtex  
Rise and fall patterns of information diffusion: model and implications. Matsubara, Y.; Sakurai, Y.; Prakash, B. A.; Li, L.; and Faloutsos, C. In Yang, Q.; Agarwal, D.; and Pei, J., editor(s), The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pages 6–14, 2012. ACM
Rise and fall patterns of information diffusion: model and implications [link]Paper   doi   link   bibtex  
Fast mining and forecasting of complex time-stamped events. Matsubara, Y.; Sakurai, Y.; Faloutsos, C.; Iwata, T.; and Yoshikawa, M. In Yang, Q.; Agarwal, D.; and Pei, J., editor(s), The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pages 271–279, 2012. ACM
Fast mining and forecasting of complex time-stamped events [link]Paper   doi   link   bibtex  
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries. Kang, U; Papalexakis, E. E.; Harpale, A.; and Faloutsos, C. In Yang, Q.; Agarwal, D.; and Pei, J., editor(s), The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pages 316–324, 2012. ACM
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries [link]Paper   doi   link   bibtex  
Interacting viruses in networks: can both survive?. Beutel, A.; Prakash, B. A.; Rosenfeld, R.; and Faloutsos, C. In Yang, Q.; Agarwal, D.; and Pei, J., editor(s), The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pages 426–434, 2012. ACM
Interacting viruses in networks: can both survive? [link]Paper   doi   link   bibtex  
RainMon: an integrated approach to mining bursty timeseries monitoring data. Shafer, I.; Ren, K.; Boddeti, V. N.; Abe, Y.; Ganger, G. R.; and Faloutsos, C. In Yang, Q.; Agarwal, D.; and Pei, J., editor(s), The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pages 1158–1166, 2012. ACM
RainMon: an integrated approach to mining bursty timeseries monitoring data [link]Paper   doi   link   bibtex  
RolX: structural role extraction & mining in large graphs. Henderson, K.; Gallagher, B.; Eliassi-Rad, T.; Tong, H.; Basu, S.; Akoglu, L.; Koutra, D.; Faloutsos, C.; and Li, L. In Yang, Q.; Agarwal, D.; and Pei, J., editor(s), The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pages 1231–1239, 2012. ACM
RolX: structural role extraction & mining in large graphs [link]Paper   doi   link   bibtex  
TourViz: interactive visualization of connection pathways in large graphs. Chau, D. H.; Akoglu, L.; Vreeken, J.; Tong, H.; and Faloutsos, C. In Yang, Q.; Agarwal, D.; and Pei, J., editor(s), The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012, pages 1516–1519, 2012. ACM
TourViz: interactive visualization of connection pathways in large graphs [link]Paper   doi   link   bibtex  
Quantifying Reciprocity in Large Weighted Communication Networks. Akoglu, L.; de Melo, P. O. S. V.; and Faloutsos, C. In Tan, P.; Chawla, S.; Ho, C. K.; and Bailey, J., editor(s), Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29 - June 1, 2012, Proceedings, Part II, volume 7302, of Lecture Notes in Computer Science, pages 85–96, 2012. Springer
Quantifying Reciprocity in Large Weighted Communication Networks [link]Paper   doi   link   bibtex  
TensorSplat: Spotting Latent Anomalies in Time. Koutra, D.; Papalexakis, E. E.; and Faloutsos, C. In 16th Panhellenic Conference on Informatics, PCI 2012, Piraeus, Greece, October 5-7, 2012, pages 144–149, 2012. IEEE Computer Society
TensorSplat: Spotting Latent Anomalies in Time [link]Paper   doi   link   bibtex  
ParCube: Sparse Parallelizable Tensor Decompositions. Papalexakis, E. E.; Faloutsos, C.; and Sidiropoulos, N. D. In Flach, P. A.; Bie, T. D.; and Cristianini, N., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I, volume 7523, of Lecture Notes in Computer Science, pages 521–536, 2012. Springer
ParCube: Sparse Parallelizable Tensor Decompositions [link]Paper   doi   link   bibtex  
PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs. Akoglu, L.; Tong, H.; Meeder, B.; and Faloutsos, C. In Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012, pages 439–450, 2012. SIAM / Omnipress
PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs [link]Paper   doi   link   bibtex  
Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection. Malliaros, F. D.; Megalooikonomou, V.; and Faloutsos, C. In Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012, pages 942–953, 2012. SIAM / Omnipress
Fast Robustness Estimation in Large Social Graphs: Communities and Anomaly Detection [link]Paper   doi   link   bibtex  
Managing and mining large graphs: patterns and algorithms. Faloutsos, C.; and Kang, U In Candan, K. S.; Chen, Y.; Snodgrass, R. T.; Gravano, L.; and Fuxman, A., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, Scottsdale, AZ, USA, May 20-24, 2012, pages 585–588, 2012. ACM
Managing and mining large graphs: patterns and algorithms [link]Paper   doi   link   bibtex  
OPAvion: mining and visualization in large graphs. Akoglu, L.; Chau, D. H.; Kang, U; Koutra, D.; and Faloutsos, C. In Candan, K. S.; Chen, Y.; Snodgrass, R. T.; Gravano, L.; and Fuxman, A., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, Scottsdale, AZ, USA, May 20-24, 2012, pages 717–720, 2012. ACM
OPAvion: mining and visualization in large graphs [link]Paper   doi   link   bibtex  
SigSpot: mining significant anomalous regions from time-evolving networks (abstract only). Mongiovì, M.; Bogdanov, P.; Ranca, R.; Singh, A. K.; Papalexakis, E. E.; and Faloutsos, C. In Candan, K. S.; Chen, Y.; Snodgrass, R. T.; Gravano, L.; and Fuxman, A., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012, Scottsdale, AZ, USA, May 20-24, 2012, pages 865, 2012. ACM
SigSpot: mining significant anomalous regions from time-evolving networks (abstract only) [link]Paper   doi   link   bibtex  
Winner takes all: competing viruses or ideas on fair-play networks. Prakash, B. A.; Beutel, A.; Rosenfeld, R.; and Faloutsos, C. In Mille, A.; Gandon, F.; Misselis, J.; Rabinovich, M.; and Staab, S., editor(s), Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012, pages 1037–1046, 2012. ACM
Winner takes all: competing viruses or ideas on fair-play networks [link]Paper   doi   link   bibtex  
V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors. Metwally, A.; and Faloutsos, C. CoRR, abs/1204.6077. 2012.
V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors [link]Paper   link   bibtex  
NetSimile: A Scalable Approach to Size-Independent Network Similarity. Berlingerio, M.; Koutra, D.; Eliassi-Rad, T.; and Faloutsos, C. CoRR, abs/1209.2684. 2012.
NetSimile: A Scalable Approach to Size-Independent Network Similarity [link]Paper   link   bibtex  
  2011 (31)
Outlier detection by example. Zhu, C.; Kitagawa, H.; Papadimitriou, S.; and Faloutsos, C. J. Intell. Inf. Syst., 36(2): 217–247. 2011.
Outlier detection by example [link]Paper   doi   link   bibtex  
PEGASUS: mining peta-scale graphs. Kang, U; Tsourakakis, C. E.; and Faloutsos, C. Knowl. Inf. Syst., 27(2): 303–325. 2011.
PEGASUS: mining peta-scale graphs [link]Paper   doi   link   bibtex  
TWave: High-order analysis of functional MRI. Barnathan, M.; Megalooikonomou, V.; Faloutsos, C.; Faro, S.; and Mohamed, F. B. NeuroImage, 58(2): 537–548. 2011.
TWave: High-order analysis of functional MRI [link]Paper   doi   link   bibtex  
Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation. Tsourakakis, C. E.; Drineas, P.; Michelakis, E.; Koutis, I.; and Faloutsos, C. Soc. Netw. Anal. Min., 1(2): 75–81. 2011.
Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation [link]Paper   doi   link   bibtex  
HADI: Mining Radii of Large Graphs. Kang, U; Tsourakakis, C. E.; Appel, A. P.; Faloutsos, C.; and Leskovec, J. ACM Trans. Knowl. Discov. Data, 5(2): 8:1–8:24. 2011.
HADI: Mining Radii of Large Graphs [link]Paper   doi   link   bibtex  
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis. Maruhashi, K.; Guo, F.; and Faloutsos, C. In International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011, Kaohsiung, Taiwan, 25-27 July 2011, pages 203–210, 2011. IEEE Computer Society
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis [link]Paper   doi   link   bibtex  
Apolo: making sense of large network data by combining rich user interaction and machine learning. Chau, D. H.; Kittur, A.; Hong, J. I.; and Faloutsos, C. In Tan, D. S.; Amershi, S.; Begole, B.; Kellogg, W. A.; and Tungare, M., editor(s), Proceedings of the International Conference on Human Factors in Computing Systems, CHI 2011, Vancouver, BC, Canada, May 7-12, 2011, pages 167–176, 2011. ACM
Apolo: making sense of large network data by combining rich user interaction and machine learning [link]Paper   doi   link   bibtex  
A linear-time approximation of the earth mover's distance. Jang, M.; Kim, S.; Faloutsos, C.; and Park, S. In Macdonald, C.; Ounis, I.; and Ruthven, I., editor(s), Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, pages 505–514, 2011. ACM
A linear-time approximation of the earth mover's distance [link]Paper   doi   link   bibtex  
Constructing seminal paper genealogy. Bae, D.; Hwang, S.; Kim, S.; and Faloutsos, C. In Macdonald, C.; Ounis, I.; and Ruthven, I., editor(s), Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, pages 2101–2104, 2011. ACM
Constructing seminal paper genealogy [link]Paper   doi   link   bibtex  
Spectral analysis of a blogosphere. Kim, S.; Kim, K.; Faloutsos, C.; and Lee, J. H. In Macdonald, C.; Ounis, I.; and Ruthven, I., editor(s), Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, pages 2145–2148, 2011. ACM
Spectral analysis of a blogosphere [link]Paper   doi   link   bibtex  
Mining large graphs: Algorithms, inference, and discoveries. Kang, U; Chau, D. H.; and Faloutsos, C. In Abiteboul, S.; Böhm, K.; Koch, C.; and Tan, K., editor(s), Proceedings of the 27th International Conference on Data Engineering, ICDE 2011, April 11-16, 2011, Hannover, Germany, pages 243–254, 2011. IEEE Computer Society
Mining large graphs: Algorithms, inference, and discoveries [link]Paper   doi   link   bibtex  
Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining. Kang, U; and Faloutsos, C. In Cook, D. J.; Pei, J.; Wang, W.; Zaïane, O. R.; and Wu, X., editor(s), 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, pages 300–309, 2011. IEEE Computer Society
Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining [link]Paper   doi   link   bibtex  
Mobile Phone Graph Evolution: Findings, Model and Interpretation. Liu, S.; Li, L.; Faloutsos, C.; and Ni, L. M. In Spiliopoulou, M.; Wang, H.; Cook, D. J.; Pei, J.; Wang, W.; Zaïane, O. R.; and Wu, X., editor(s), Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011, pages 323–330, 2011. IEEE Computer Society
Mobile Phone Graph Evolution: Findings, Model and Interpretation [link]Paper   doi   link   bibtex  
Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks. Prakash, B. A.; Chakrabarti, D.; Faloutsos, M.; Valler, N.; and Faloutsos, C. In Cook, D. J.; Pei, J.; Wang, W.; Zaïane, O. R.; and Wu, X., editor(s), 11th IEEE International Conference on Data Mining, ICDM 2011, Vancouver, BC, Canada, December 11-14, 2011, pages 537–546, 2011. IEEE Computer Society
Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks [link]Paper   doi   link   bibtex  
It's who you know: graph mining using recursive structural features. Henderson, K.; Gallagher, B.; Li, L.; Akoglu, L.; Eliassi-Rad, T.; Tong, H.; and Faloutsos, C. In Apté, C.; Ghosh, J.; and Smyth, P., editor(s), Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, pages 663–671, 2011. ACM
It's who you know: graph mining using recursive structural features [link]Paper   doi   link   bibtex  
Clustering very large multi-dimensional datasets with MapReduce. Cordeiro, R. L. F.; Jr., C. T.; Traina, A. J. M.; López, J.; Kang, U; and Faloutsos, C. In Apté, C.; Ghosh, J.; and Smyth, P., editor(s), Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, pages 690–698, 2011. ACM
Clustering very large multi-dimensional datasets with MapReduce [link]Paper   doi   link   bibtex  
Apolo: interactive large graph sensemaking by combining machine learning and visualization. Chau, D. H.; Kittur, A.; Hong, J. I.; and Faloutsos, C. In Apté, C.; Ghosh, J.; and Smyth, P., editor(s), Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, pages 739–742, 2011. ACM
Apolo: interactive large graph sensemaking by combining machine learning and visualization [link]Paper   doi   link   bibtex  
GBASE: a scalable and general graph management system. Kang, U; Tong, H.; Sun, J.; Lin, C.; and Faloutsos, C. In Apté, C.; Ghosh, J.; and Smyth, P., editor(s), Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, pages 1091–1099, 2011. ACM
GBASE: a scalable and general graph management system [link]Paper   doi   link   bibtex  
ThermoCast: a cyber-physical forecasting model for datacenters. Li, L.; Liang, C. M.; Liu, J.; Nath, S.; Terzis, A.; and Faloutsos, C. In Apté, C.; Ghosh, J.; and Smyth, P., editor(s), Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, pages 1370–1378, 2011. ACM
ThermoCast: a cyber-physical forecasting model for datacenters [link]Paper   doi   link   bibtex  
Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point. Valler, N.; Prakash, B. A.; Tong, H.; Faloutsos, M.; and Faloutsos, C. In Domingo-Pascual, J.; Manzoni, P.; Palazzo, S.; Pont, A.; and Scoglio, C. M., editor(s), NETWORKING 2011 - 10th International IFIP TC 6 Networking Conference, Valencia, Spain, May 9-13, 2011, Proceedings, Part I, volume 6640, of Lecture Notes in Computer Science, pages 266–280, 2011. Springer
Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point [link]Paper   doi   link   bibtex  
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation. Kang, U; Meeder, B.; and Faloutsos, C. In Huang, J. Z.; Cao, L.; and Srivastava, J., editor(s), Advances in Knowledge Discovery and Data Mining - 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part II, volume 6635, of Lecture Notes in Computer Science, pages 13–25, 2011. Springer
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation [link]Paper   doi   link   bibtex  
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. Koutra, D.; Ke, T.; Kang, U; Chau, D. H.; Pao, H. K.; and Faloutsos, C. In Gunopulos, D.; Hofmann, T.; Malerba, D.; and Vazirgiannis, M., editor(s), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II, volume 6912, of Lecture Notes in Computer Science, pages 245–260, 2011. Springer
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms [link]Paper   doi   link   bibtex  
Large Scale Graph Mining and Inference for Malware Detection. Chau, D. H.; Nachenberg, C.; Wilhelm, J.; Wright, A.; and Faloutsos, C. In Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA, pages 131–142, 2011. SIAM / Omnipress
Large Scale Graph Mining and Inference for Malware Detection [link]Paper   doi   link   bibtex  
WindMine: Fast and Effective Mining of Web-click Sequences. Sakurai, Y.; Li, L.; Matsubara, Y.; and Faloutsos, C. In Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA, pages 759–770, 2011. SIAM / Omnipress
WindMine: Fast and Effective Mining of Web-click Sequences [link]Paper   doi   link   bibtex  
Human Dynamics in Large Communication Networks. de Melo, P. O. S. V.; Faloutsos, C.; and Loureiro, A. A. F. In Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA, pages 968–979, 2011. SIAM / Omnipress
Human Dynamics in Large Communication Networks [link]Paper   doi   link   bibtex  
BlogCast effect on information diffusion in a blogosphere. Kim, S.; Faloutsos, C.; and Ha, J. In Ma, W.; Nie, J.; Baeza-Yates, R.; Chua, T.; and Croft, W. B., editor(s), Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011, pages 1149–1150, 2011. ACM
BlogCast effect on information diffusion in a blogosphere [link]Paper   doi   link   bibtex  
Recommending People in Developers' Collaboration Network. Surian, D.; Liu, N.; Lo, D.; Tong, H.; Lim, E.; and Faloutsos, C. In Pinzger, M.; Poshyvanyk, D.; and Buckley, J., editor(s), 18th Working Conference on Reverse Engineering, WCRE 2011, Limerick, Ireland, October 17-20, 2011, pages 379–388, 2011. IEEE Computer Society
Recommending People in Developers' Collaboration Network [link]Paper   doi   link   bibtex  
Mining billion-node graphs: patterns, generators and tools. Faloutsos, C. In King, I.; Nejdl, W.; and Li, H., editor(s), Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011, pages 13–14, 2011. ACM
Mining billion-node graphs: patterns, generators and tools [link]Paper   doi   link   bibtex  
Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs. Appel, A. P.; Faloutsos, C.; and Jr., C. T. In Sakr, S.; and Pardede, E., editor(s), Graph Data Management: Techniques and Applications, pages 239–259. IGI Global, 2011.
Graph Mining Techniques: Focusing on discriminating between real and synthetic graphs [link]Paper   doi   link   bibtex  
Fundamental Questions in the Analysis of Large Graphs. Kepner, J.; Bader, D. A.; Bond, R.; Bliss, N. T.; Faloutsos, C.; Hendrickson, B.; Gilbert, J. R.; and Robinson, E. In Kepner, J.; and Gilbert, J. R., editor(s), Graph Algorithms in the Language of Linear Algebra, volume 22, of Software, environments, tools, pages 353–357. SIAM, 2011.
Fundamental Questions in the Analysis of Large Graphs [link]Paper   doi   link   bibtex  
Statistical Properties of Social Networks. McGlohon, M.; Akoglu, L.; and Faloutsos, C. In Aggarwal, C. C., editor(s), Social Network Data Analytics, pages 17–42. Springer, 2011.
Statistical Properties of Social Networks [link]Paper   doi   link   bibtex  
  2010 (36)
SPEX2: automated concise extraction of spatial gene expression patterns from Fly embryo ISH images. Puniyani, K.; Faloutsos, C.; and Xing, E. P. Bioinform., 26(12): 47–56. 2010.
SPEX\(^\mbox2\): automated concise extraction of spatial gene expression patterns from Fly embryo ISH images [link]Paper   doi   link   bibtex  
Efficient Parallel Learning of Hidden Markov Chain Models on SMPs. Li, L.; Fu, B.; and Faloutsos, C. IEICE Trans. Inf. Syst., 93-D(6): 1330–1342. 2010.
Efficient Parallel Learning of Hidden Markov Chain Models on SMPs [link]Paper   doi   link   bibtex  
Time series analysis with multiple resolutions. Wang, Q.; Megalooikonomou, V.; and Faloutsos, C. Inf. Syst., 35(1): 56–74. 2010.
Time series analysis with multiple resolutions [link]Paper   doi   link   bibtex  
Fast feature selection using fractal dimension. Jr., C. T.; Traina, A. J. M.; Wu, L.; and Faloutsos, C. J. Inf. Data Manag., 1(1): 3–16. 2010.
Fast feature selection using fractal dimension [link]Paper   link   bibtex  
Fast Feature Selection using Fractal Dimension - Ten Years Later. Jr., C. T.; Traina, A. J. M.; and Faloutsos, C. J. Inf. Data Manag., 1(1): 17–20. 2010.
Fast Feature Selection using Fractal Dimension - Ten Years Later [link]Paper   link   bibtex  
Kronecker Graphs: An Approach to Modeling Networks. Leskovec, J.; Chakrabarti, D.; Kleinberg, J. M.; Faloutsos, C.; and Ghahramani, Z. J. Mach. Learn. Res., 11: 985–1042. 2010.
Kronecker Graphs: An Approach to Modeling Networks [link]Paper   doi   link   bibtex  
Parsimonious Linear Fingerprinting for Time Series. Li, L.; Prakash, B. A.; and Faloutsos, C. Proc. VLDB Endow., 3(1): 385–396. 2010.
Parsimonious Linear Fingerprinting for Time Series [pdf]Paper   doi   link   bibtex  
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data. Liu, C.; Guo, F.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 4(4): 19:1–19:26. 2010.
Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data [link]Paper   doi   link   bibtex  
Fast Discovery of Group Lag Correlations in Streams. Sakurai, Y.; Faloutsos, C.; and Papadimitriou, S. ACM Trans. Knowl. Discov. Data, 5(1): 5:1–5:43. 2010.
Fast Discovery of Group Lag Correlations in Streams [link]Paper   doi   link   bibtex  
The Typhoon Track Classification using Tri-plots and Markov Chain. Tseng, J. C.; Pao, H. K.; and Faloutsos, C. In Fred, A. L. N.; and Filipe, J., editor(s), KDIR 2010 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Valencia, Spain, October 25-28, 2010, pages 364–369, 2010. SciTePress
link   bibtex  
Fast algorithms for time series mining. Li, L.; and Faloutsos, C. In Workshops Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA, pages 341–344, 2010. IEEE Computer Society
Fast algorithms for time series mining [link]Paper   doi   link   bibtex  
Finding Clusters in subspaces of very large, multi-dimensional datasets. Cordeiro, R. L. F.; Traina, A. J. M.; Faloutsos, C.; and Jr., C. T. In Li, F.; Moro, M. M.; Ghandeharizadeh, S.; Haritsa, J. R.; Weikum, G.; Carey, M. J.; Casati, F.; Chang, E. Y.; Manolescu, I.; Mehrotra, S.; Dayal, U.; and Tsotras, V. J., editor(s), Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA, pages 625–636, 2010. IEEE Computer Society
Finding Clusters in subspaces of very large, multi-dimensional datasets [link]Paper   doi   link   bibtex  
Mining Billion-node Graphs: Patterns, Generators and Tools. Faloutsos, C. In Webb, G. I.; Liu, B.; Zhang, C.; Gunopulos, D.; and Wu, X., editor(s), ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010, pages 5, 2010. IEEE Computer Society
Mining Billion-node Graphs: Patterns, Generators and Tools [link]Paper   doi   link   bibtex  
QMAS: Querying, Mining and Summarization of Multi-modal Databases. Cordeiro, R. L. F.; Guo, F.; Haverkamp, D. S.; Horne, J. H.; Hughes, E. K.; Kim, G.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. In Webb, G. I.; Liu, B.; Zhang, C.; Gunopulos, D.; and Wu, X., editor(s), ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010, pages 785–790, 2010. IEEE Computer Society
QMAS: Querying, Mining and Summarization of Multi-modal Databases [link]Paper   doi   link   bibtex  
Patterns on the Connected Components of Terabyte-Scale Graphs. Kang, U; McGlohon, M.; Akoglu, L.; and Faloutsos, C. In Webb, G. I.; Liu, B.; Zhang, C.; Gunopulos, D.; and Wu, X., editor(s), ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010, pages 875–880, 2010. IEEE Computer Society
Patterns on the Connected Components of Terabyte-Scale Graphs [link]Paper   doi   link   bibtex  
On the Vulnerability of Large Graphs. Tong, H.; Prakash, B. A.; Tsourakakis, C. E.; Eliassi-Rad, T.; Faloutsos, C.; and Chau, D. H. In Webb, G. I.; Liu, B.; Zhang, C.; Gunopulos, D.; and Wu, X., editor(s), ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010, pages 1091–1096, 2010. IEEE Computer Society
On the Vulnerability of Large Graphs [link]Paper   doi   link   bibtex  
ValuePick: Towards a Value-Oriented Dual-Goal Recommender System. Akoglu, L.; and Faloutsos, C. In Fan, W.; Hsu, W.; Webb, G. I.; Liu, B.; Zhang, C.; Gunopulos, D.; and Wu, X., editor(s), ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010, pages 1151–1158, 2010. IEEE Computer Society
ValuePick: Towards a Value-Oriented Dual-Goal Recommender System [link]Paper   doi   link   bibtex  
EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs. Maruhashi, K.; and Faloutsos, C. In Fan, W.; Hsu, W.; Webb, G. I.; Liu, B.; Zhang, C.; Gunopulos, D.; and Wu, X., editor(s), ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops, Sydney, Australia, 13 December 2010, pages 1328–1337, 2010. IEEE Computer Society
EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs [link]Paper   doi   link   bibtex  
High-order concept discovery in functional brain imaging. Barnathan, M.; Megalooikonomou, V.; Faloutsos, C.; Mohamed, F. B.; and Faro, S. In Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, The Netherlands, 14-17 April, 2010, pages 664–667, 2010. IEEE
High-order concept discovery in functional brain imaging [link]Paper   doi   link   bibtex  
Metric forensics: a multi-level approach for mining volatile graphs. Henderson, K.; Eliassi-Rad, T.; Faloutsos, C.; Akoglu, L.; Li, L.; Maruhashi, K.; Prakash, B. A.; and Tong, H. In Rao, B.; Krishnapuram, B.; Tomkins, A.; and Yang, Q., editor(s), Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, pages 163–172, 2010. ACM
Metric forensics: a multi-level approach for mining volatile graphs [link]Paper   doi   link   bibtex  
TWave: High-Order Analysis of Spatiotemporal Data. Barnathan, M.; Megalooikonomou, V.; Faloutsos, C.; Mohamed, F. B.; and Faro, S. In Zaki, M. J.; Yu, J. X.; Ravindran, B.; and Pudi, V., editor(s), Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I, volume 6118, of Lecture Notes in Computer Science, pages 246–253, 2010. Springer
TWave: High-Order Analysis of Spatiotemporal Data [link]Paper   doi   link   bibtex  
oddball: Spotting Anomalies in Weighted Graphs. Akoglu, L.; McGlohon, M.; and Faloutsos, C. In Zaki, M. J.; Yu, J. X.; Ravindran, B.; and Pudi, V., editor(s), Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II, volume 6119, of Lecture Notes in Computer Science, pages 410–421, 2010. Springer
oddball: Spotting Anomalies in Weighted Graphs [link]Paper   doi   link   bibtex  
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. Prakash, B. A.; Sridharan, A.; Seshadri, M.; Machiraju, S.; and Faloutsos, C. In Zaki, M. J.; Yu, J. X.; Ravindran, B.; and Pudi, V., editor(s), Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II, volume 6119, of Lecture Notes in Computer Science, pages 435–448, 2010. Springer
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs [link]Paper   doi   link   bibtex  
BASSET: Scalable Gateway Finder in Large Graphs. Tong, H.; Papadimitriou, S.; Faloutsos, C.; Yu, P. S.; and Eliassi-Rad, T. In Zaki, M. J.; Yu, J. X.; Ravindran, B.; and Pudi, V., editor(s), Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II, volume 6119, of Lecture Notes in Computer Science, pages 449–463, 2010. Springer
BASSET: Scalable Gateway Finder in Large Graphs [link]Paper   doi   link   bibtex  
Mining Billion-Node Graphs: Patterns, Generators and Tools. Faloutsos, C. In Balcázar, J. L.; Bonchi, F.; Gionis, A.; and Sebag, M., editor(s), Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I, volume 6321, of Lecture Notes in Computer Science, pages 1, 2010. Springer
Mining Billion-Node Graphs: Patterns, Generators and Tools [link]Paper   doi   link   bibtex  
SBAD: Sequence Based Attack Detection via Sequence Comparison. Mao, C.; Pao, H.; Faloutsos, C.; and Lee, H. In Dimitrakakis, C.; Gkoulalas-Divanis, A.; Mitrokotsa, A.; Verykios, V. S.; and Saygin, Y., editor(s), Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers, volume 6549, of Lecture Notes in Computer Science, pages 78–91, 2010. Springer
SBAD: Sequence Based Attack Detection via Sequence Comparison [link]Paper   doi   link   bibtex  
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms. Prakash, B. A.; Tong, H.; Valler, N.; Faloutsos, M.; and Faloutsos, C. In Balcázar, J. L.; Bonchi, F.; Gionis, A.; and Sebag, M., editor(s), Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III, volume 6323, of Lecture Notes in Computer Science, pages 99–114, 2010. Springer
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms [link]Paper   doi   link   bibtex  
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users. de Melo, P. O. S. V.; Akoglu, L.; Faloutsos, C.; and Loureiro, A. A. F. In Balcázar, J. L.; Bonchi, F.; Gionis, A.; and Sebag, M., editor(s), Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part III, volume 6323, of Lecture Notes in Computer Science, pages 354–369, 2010. Springer
Surprising Patterns for the Call Duration Distribution of Mobile Phone Users [link]Paper   doi   link   bibtex  
Analysis of Large Multi-modal Social Networks: Patterns and a Generator. Du, N.; Wang, H.; and Faloutsos, C. In Balcázar, J. L.; Bonchi, F.; Gionis, A.; and Sebag, M., editor(s), Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I, volume 6321, of Lecture Notes in Computer Science, pages 393–408, 2010. Springer
Analysis of Large Multi-modal Social Networks: Patterns and a Generator [link]Paper   doi   link   bibtex  
BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling. Li, L.; McCann, J.; Pollard, N. S.; and Faloutsos, C. In Popovic, Z.; and Otaduy, M. A., editor(s), Proceedings of the 2010 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, SCA 2010, Madrid, Spain, 2010, pages 179–188, 2010. Eurographics Association
BoLeRO: A Principled Technique for Including Bone Length Constraints in Motion Capture Occlusion Filling [link]Paper   doi   link   bibtex  
Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. Kang, U; Tsourakakis, C. E.; Appel, A. P.; Faloutsos, C.; and Leskovec, J. In Proceedings of the SIAM International Conference on Data Mining, SDM 2010, April 29 - May 1, 2010, Columbus, Ohio, USA, pages 548–558, 2010. SIAM
Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations [link]Paper   doi   link   bibtex  
HCDF: A Hybrid Community Discovery Framework. Henderson, K.; Eliassi-Rad, T.; Papadimitriou, S.; and Faloutsos, C. In Proceedings of the SIAM International Conference on Data Mining, SDM 2010, April 29 - May 1, 2010, Columbus, Ohio, USA, pages 754–765, 2010. SIAM
HCDF: A Hybrid Community Discovery Framework [link]Paper   doi   link   bibtex  
Community Evolution and Change Point Detection in Time-Evolving Graphs. Sun, J.; Papadimitriou, S.; Yu, P. S.; and Faloutsos, C. In Yu, P. S.; Han, J.; and Faloutsos, C., editor(s), Link Mining: Models, Algorithms, and Applications, pages 73–104. Springer, 2010.
Community Evolution and Change Point Detection in Time-Evolving Graphs [link]Paper   doi   link   bibtex  
Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions. Tong, H.; Papadimitriou, S.; Yu, P. S.; and Faloutsos, C. In Yu, P. S.; Han, J.; and Faloutsos, C., editor(s), Link Mining: Models, Algorithms, and Applications, pages 211–236. Springer, 2010.
Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions [link]Paper   doi   link   bibtex  
Graph Mining: Laws and Generators. Chakrabarti, D.; Faloutsos, C.; and McGlohon, M. In Aggarwal, C. C.; and Wang, H., editor(s), Managing and Mining Graph Data, volume 40, of Advances in Database Systems, pages 69–123. Springer, 2010.
Graph Mining: Laws and Generators [link]Paper   doi   link   bibtex  
Link Mining: Models, Algorithms, and Applications. Yu, P. S.; Han, J.; and Faloutsos, C., editors. Springer, 2010.
Link Mining: Models, Algorithms, and Applications [link]Paper   doi   link   bibtex  
  2009 (22)
RTG: a recursive realistic graph generator using random typing. Akoglu, L.; and Faloutsos, C. Data Min. Knowl. Discov., 19(2): 194–209. 2009.
RTG: a recursive realistic graph generator using random typing [link]Paper   doi   link   bibtex  
Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification. Tsourakakis, C. E.; Drineas, P.; Michelakis, E.; Koutis, I.; and Faloutsos, C. In Memon, N.; and Alhajj, R., editor(s), 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009, 20-22 July 2009, Athens, Greece, pages 66–71, 2009. IEEE Computer Society
Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification [link]Paper   doi   link   bibtex  
SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections. Chau, D. H.; Kittur, A.; Faloutsos, C.; and Hong, J. I. In Jr., D. R. O.; Arthur, R. B.; Hinckley, K.; Morris, M. R.; Hudson, S. E.; and Greenberg, S., editor(s), Proceedings of the 27th International Conference on Human Factors in Computing Systems, CHI 2009, Extended Abstracts Volume, Boston, MA, USA, April 4-9, 2009, pages 3535–3536, 2009. ACM
SHIFTR: a user-directed, link-based system for ad hoc sensemaking of large heterogeneous data collections [link]Paper   doi   link   bibtex  
iPoG: fast interactive proximity querying on graphs. Tong, H.; Qu, H.; Jamjoom, H.; and Faloutsos, C. In Cheung, D. W.; Song, I.; Chu, W. W.; Hu, X.; and Lin, J., editor(s), Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, China, November 2-6, 2009, pages 1673–1676, 2009. ACM
iPoG: fast interactive proximity querying on graphs [link]Paper   doi   link   bibtex  
Graph Mining: Patterns, Generators and Tools. Faloutsos, C. In Kucherov, G.; and Ukkonen, E., editor(s), Combinatorial Pattern Matching, 20th Annual Symposium, CPM 2009, Lille, France, June 22-24, 2009, Proceedings, volume 5577, of Lecture Notes in Computer Science, pages 274, 2009. Springer
Graph Mining: Patterns, Generators and Tools [link]Paper   doi   link   bibtex  
PEGASUS: A Peta-Scale Graph Mining System. Kang, U; Tsourakakis, C. E.; and Faloutsos, C. In Wang, W.; Kargupta, H.; Ranka, S.; Yu, P. S.; and Wu, X., editor(s), ICDM 2009, The Ninth IEEE International Conference on Data Mining, Miami, Florida, USA, 6-9 December 2009, pages 229–238, 2009. IEEE Computer Society
PEGASUS: A Peta-Scale Graph Mining System [link]Paper   doi   link   bibtex  
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs. Prakash, B. A.; Seshadri, M.; Sridharan, A.; Machiraju, S.; and Faloutsos, C. In Saygin, Y.; Yu, J. X.; Kargupta, H.; Wang, W.; Ranka, S.; Yu, P. S.; and Wu, X., editor(s), ICDM Workshops 2009, IEEE International Conference on Data Mining Workshops, Miami, Florida, USA, 6 December 2009, pages 290–295, 2009. IEEE Computer Society
EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs [link]Paper   doi   link   bibtex  
Modeling Blog Dynamics. Goetz, M.; Leskovec, J.; McGlohon, M.; and Faloutsos, C. In Adar, E.; Hurst, M.; Finin, T.; Glance, N. S.; Nicolov, N.; and Tseng, B. L., editor(s), Proceedings of the Third International Conference on Weblogs and Social Media, ICWSM 2009, San Jose, California, USA, May 17-20, 2009, 2009. The AAAI Press
Modeling Blog Dynamics [link]Paper   link   bibtex  
Large human communication networks: patterns and a utility-driven generator. Du, N.; Faloutsos, C.; Wang, B.; and Akoglu, L. In IV, J. F. E.; Fogelman-Soulié, F.; Flach, P. A.; and Zaki, M. J., editor(s), Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pages 269–278, 2009. ACM
Large human communication networks: patterns and a utility-driven generator [link]Paper   doi   link   bibtex  
DynaMMo: mining and summarization of coevolving sequences with missing values. Li, L.; McCann, J.; Pollard, N. S.; and Faloutsos, C. In IV, J. F. E.; Fogelman-Soulié, F.; Flach, P. A.; and Zaki, M. J., editor(s), Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pages 507–516, 2009. ACM
DynaMMo: mining and summarization of coevolving sequences with missing values [link]Paper   doi   link   bibtex  
BBM: bayesian browsing model from petabyte-scale data. Liu, C.; Guo, F.; and Faloutsos, C. In IV, J. F. E.; Fogelman-Soulié, F.; Flach, P. A.; and Zaki, M. J., editor(s), Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pages 537–546, 2009. ACM
BBM: bayesian browsing model from petabyte-scale data [link]Paper   doi   link   bibtex  
TANGENT: a novel, 'Surprise me', recommendation algorithm. Onuma, K.; Tong, H.; and Faloutsos, C. In IV, J. F. E.; Fogelman-Soulié, F.; Flach, P. A.; and Zaki, M. J., editor(s), Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pages 657–666, 2009. ACM
TANGENT: a novel, 'Surprise me', recommendation algorithm [link]Paper   doi   link   bibtex  
DOULION: counting triangles in massive graphs with a coin. Tsourakakis, C. E.; Kang, U; Miller, G. L.; and Faloutsos, C. In IV, J. F. E.; Fogelman-Soulié, F.; Flach, P. A.; and Zaki, M. J., editor(s), Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pages 837–846, 2009. ACM
DOULION: counting triangles in massive graphs with a coin [link]Paper   doi   link   bibtex  
SNARE: a link analytic system for graph labeling and risk detection. McGlohon, M.; Bay, S.; Anderle, M. G.; Steier, D. M.; and Faloutsos, C. In IV, J. F. E.; Fogelman-Soulié, F.; Flach, P. A.; and Zaki, M. J., editor(s), Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pages 1265–1274, 2009. ACM
SNARE: a link analytic system for graph labeling and risk detection [link]Paper   doi   link   bibtex  
BGP-lens: patterns and anomalies in internet routing updates. Prakash, B. A.; Valler, N.; Andersen, D. G.; Faloutsos, M.; and Faloutsos, C. In IV, J. F. E.; Fogelman-Soulié, F.; Flach, P. A.; and Zaki, M. J., editor(s), Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pages 1315–1324, 2009. ACM
BGP-lens: patterns and anomalies in internet routing updates [link]Paper   doi   link   bibtex  
RTG: A Recursive Realistic Graph Generator Using Random Typing. Akoglu, L.; and Faloutsos, C. In Buntine, W. L.; Grobelnik, M.; Mladenic, D.; and Shawe-Taylor, J., editor(s), Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I, volume 5781, of Lecture Notes in Computer Science, pages 13–28, 2009. Springer
RTG: A Recursive Realistic Graph Generator Using Random Typing [link]Paper   doi   link   bibtex  
ShatterPlots: Fast Tools for Mining Large Graphs. Appel, A. P.; Chakrabarti, D.; Faloutsos, C.; Kumar, R.; Leskovec, J.; and Tomkins, A. In Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA, pages 802–813, 2009. SIAM
ShatterPlots: Fast Tools for Mining Large Graphs [link]Paper   doi   link   bibtex  
Tailoring click models to user goals. Guo, F.; Li, L.; and Faloutsos, C. In Craswell, N.; Jones, R.; Dupret, G.; and Viegas, E., editor(s), Proceedings of the 2009 workshop on Web Search Click Data, WSCD@WSDM 2009, Barcelona, Spain, February 9, 2009, pages 88–92, 2009. ACM
Tailoring click models to user goals [link]Paper   doi   link   bibtex  
Click chain model in web search. Guo, F.; Liu, C.; Kannan, A.; Minka, T.; Taylor, M. J.; Wang, Y. M.; and Faloutsos, C. In Quemada, J.; León, G.; Maarek, Y. S.; and Nejdl, W., editor(s), Proceedings of the 18th International Conference on World Wide Web, WWW 2009, Madrid, Spain, April 20-24, 2009, pages 11–20, 2009. ACM
Click chain model in web search [link]Paper   doi   link   bibtex  
NetCube. Margaritis, D.; Faloutsos, C.; and Thrun, S. In Halpin, T. A., editor(s), Selected Readings on Database Technologies and Applications, pages 471–489. IGI, 2009.
NetCube [link]Paper   doi   link   bibtex  
NetCube. Margaritis, D.; Faloutsos, C.; and Thrun, S. In Erickson, J., editor(s), Database Technologies: Concepts, Methodologies, Tools, and Applications (4 Volumes), pages 2011–2036. IGI Global, 2009.
NetCube [link]Paper   link   bibtex  
Direction-Aware Proximity on Graphs. Tong, H.; Koren, Y.; and Faloutsos, C. In Wang, J., editor(s), Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), pages 646–653. IGI Global, 2009.
Direction-Aware Proximity on Graphs [link]Paper   link   bibtex  
  2008 (39)
Two heads better than one: pattern discovery in time-evolving multi-aspect data. Sun, J.; Tsourakakis, C. E.; Hoke, E.; Faloutsos, C.; and Eliassi-Rad, T. Data Min. Knowl. Discov., 17(1): 111–128. 2008.
Two heads better than one: pattern discovery in time-evolving multi-aspect data [link]Paper   doi   link   bibtex  
Random walk with restart: fast solutions and applications. Tong, H.; Faloutsos, C.; and Pan, J. Knowl. Inf. Syst., 14(3): 327–346. 2008.
Random walk with restart: fast solutions and applications [link]Paper   doi   link   bibtex  
C-DEM: a multi-modal query system for Drosophila Embryo databases. Guo, F.; Li, L.; Faloutsos, C.; and Xing, E. P. Proc. VLDB Endow., 1(2): 1508–1511. 2008.
C-DEM: a multi-modal query system for Drosophila Embryo databases [pdf]Paper   doi   link   bibtex  
Less is More: Sparse Graph Mining with Compact Matrix Decomposition. Sun, J.; Xie, Y.; Zhang, H.; and Faloutsos, C. Stat. Anal. Data Min., 1(1): 6–22. 2008.
Less is More: Sparse Graph Mining with Compact Matrix Decomposition [link]Paper   doi   link   bibtex  
Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs. Tong, H.; Papadimitriou, S.; Yu, P. S.; and Faloutsos, C. Stat. Anal. Data Min., 1(3): 142–156. 2008.
Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs [link]Paper   doi   link   bibtex  
Bayesian Tensor Approach for 3-D Face Modeling. Tao, D.; Song, M.; Li, X.; Shen, J.; Sun, J.; Wu, X.; Faloutsos, C.; and Maybank, S. J. IEEE Trans. Circuits Syst. Video Technol., 18(10): 1397–1410. 2008.
Bayesian Tensor Approach for 3-D Face Modeling [link]Paper   doi   link   bibtex  
Epidemic thresholds in real networks. Chakrabarti, D.; Wang, Y.; Wang, C.; Leskovec, J.; and Faloutsos, C. ACM Trans. Inf. Syst. Secur., 10(4): 1:1–1:26. 2008.
Epidemic thresholds in real networks [link]Paper   doi   link   bibtex  
Incremental tensor analysis: Theory and applications. Sun, J.; Tao, D.; Papadimitriou, S.; Yu, P. S.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 2(3): 11:1–11:37. 2008.
Incremental tensor analysis: Theory and applications [link]Paper   doi   link   bibtex  
Graph mining and influence propagation. Faloutsos, C. In Tanaka, K.; Matsuyama, T.; Lim, E.; and Jatowt, A., editor(s), Proceedings of the 2nd ACM Workshop on Information Credibility on the Web, WICOW 2008, Napa Valley, California, USA, October 30, 2008, pages 1–2, 2008. ACM
Graph mining and influence propagation [link]Paper   doi   link   bibtex  
A novel optimization approach to efficiently process aggregate similarity queries in metric access methods. Razente, H. L.; Barioni, M. C. N.; Traina, A. J. M.; Faloutsos, C.; and Jr., C. T. In Shanahan, J. G.; Amer-Yahia, S.; Manolescu, I.; Zhang, Y.; Evans, D. A.; Kolcz, A.; Choi, K.; and Chowdhury, A., editor(s), Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008, pages 193–202, 2008. ACM
A novel optimization approach to efficiently process aggregate similarity queries in metric access methods [link]Paper   doi   link   bibtex  
Fast mining of complex time-stamped events. Tong, H.; Sakurai, Y.; Eliassi-Rad, T.; and Faloutsos, C. In Shanahan, J. G.; Amer-Yahia, S.; Manolescu, I.; Zhang, Y.; Evans, D. A.; Kolcz, A.; Choi, K.; and Chowdhury, A., editor(s), Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008, pages 759–768, 2008. ACM
Fast mining of complex time-stamped events [link]Paper   doi   link   bibtex  
Unsupervised modeling of object categories using link analysis techniques. Kim, G.; Faloutsos, C.; and Hebert, M. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 24-26 June 2008, Anchorage, Alaska, USA, 2008. IEEE Computer Society
Unsupervised modeling of object categories using link analysis techniques [link]Paper   doi   link   bibtex  
FMDistance: A Fast and Effective Distance Function for Motion Capture Data. Onuma, K.; Faloutsos, C.; and Hodgins, J. K. In Mania, K.; and Reinhard, E. R., editor(s), 29th Annual Conference of the European Association for Computer Graphics, Eurographics 2008 - Short Papers, Hersonissos, Crete, Greece, April 14-18, 2008, pages 83–86, 2008. Eurographics Association
FMDistance: A Fast and Effective Distance Function for Motion Capture Data [link]Paper   doi   link   bibtex  
Laziness is a Virtue: Motion Stitching Using Effort Minimization. Li, L.; McCann, J.; Faloutsos, C.; and Pollard, N. S. In Mania, K.; and Reinhard, E. R., editor(s), 29th Annual Conference of the European Association for Computer Graphics, Eurographics 2008 - Short Papers, Hersonissos, Crete, Greece, April 14-18, 2008, pages 87–90, 2008. Eurographics Association
Laziness is a Virtue: Motion Stitching Using Effort Minimization [link]Paper   doi   link   bibtex  
Using Utility to Provision Storage Systems. Strunk, J. D.; Thereska, E.; Faloutsos, C.; and Ganger, G. R. In Baker, M.; and Riedel, E., editor(s), 6th USENIX Conference on File and Storage Technologies, FAST 2008, February 26-29, 2008, San Jose, CA, USA, pages 313–328, 2008. USENIX
Using Utility to Provision Storage Systems [link]Paper   link   bibtex  
Toward a Comprehensive Model in Internet Auction Fraud Detection. Zhang, B.; Zhou, Y.; and Faloutsos, C. In 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), Proceedings, 7-10 January 2008, Waikoloa, Big Island, HI, USA, pages 79, 2008. IEEE Computer Society
Toward a Comprehensive Model in Internet Auction Fraud Detection [link]Paper   doi   link   bibtex  
Compact Similarity Joins. Bryan, B.; Eberhardt, F.; and Faloutsos, C. In Alonso, G.; Blakeley, J. A.; and Chen, A. L. P., editor(s), Proceedings of the 24th International Conference on Data Engineering, ICDE 2008, April 7-12, 2008, Cancún, Mexico, pages 346–355, 2008. IEEE Computer Society
Compact Similarity Joins [link]Paper   doi   link   bibtex  
Monitoring Network Evolution using MDL. Ferlez, J.; Faloutsos, C.; Leskovec, J.; Mladenic, D.; and Grobelnik, M. In Alonso, G.; Blakeley, J. A.; and Chen, A. L. P., editor(s), Proceedings of the 24th International Conference on Data Engineering, ICDE 2008, April 7-12, 2008, Cancún, Mexico, pages 1328–1330, 2008. IEEE Computer Society
Monitoring Network Evolution using MDL [link]Paper   doi   link   bibtex  
RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs. Akoglu, L.; McGlohon, M.; and Faloutsos, C. In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, pages 701–706, 2008. IEEE Computer Society
RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs [link]Paper   doi   link   bibtex  
GRAPHITE: A Visual Query System for Large Graphs. Chau, D. H.; Faloutsos, C.; Tong, H.; Hong, J. I.; Gallagher, B.; and Eliassi-Rad, T. In Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, pages 963–966, 2008. IEEE Computer Society
GRAPHITE: A Visual Query System for Large Graphs [link]Paper   doi   link   bibtex  
Bayesian tensor analysis. Tao, D.; Sun, J.; Shen, J.; Wu, X.; Li, X.; Maybank, S. J.; and Faloutsos, C. In Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, pages 1402–1409, 2008. IEEE
Bayesian tensor analysis [link]Paper   doi   link   bibtex  
Graph mining: laws, generators and tools. Faloutsos, C. In Papagiannaki, K.; and Zhang, Z., editor(s), Proceedings of the 8th ACM SIGCOMM Internet Measurement Conference, IMC 2008, Vouliagmeni, Greece, October 20-22, 2008, pages 1, 2008. ACM
Graph mining: laws, generators and tools [link]Paper   doi   link   bibtex  
Protein complex identification by supervised graph local clustering. Qi, Y.; Balem, F.; Faloutsos, C.; Klein-Seetharaman, J.; and Bar-Joseph, Z. In Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), Toronto, Canada, July 19-23, 2008, pages 250–268, 2008.
Protein complex identification by supervised graph local clustering [link]Paper   doi   link   bibtex  
Using ghost edges for classification in sparsely labeled networks. Gallagher, B.; Tong, H.; Eliassi-Rad, T.; and Faloutsos, C. In Li, Y.; Liu, B.; and Sarawagi, S., editor(s), Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pages 256–264, 2008. ACM
Using ghost edges for classification in sparsely labeled networks [link]Paper   doi   link   bibtex  
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps. Li, L.; Fu, W.; Guo, F.; Mowry, T. C.; and Faloutsos, C. In Li, Y.; Liu, B.; and Sarawagi, S., editor(s), Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pages 471–479, 2008. ACM
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps [link]Paper   doi   link   bibtex  
Weighted graphs and disconnected components: patterns and a generator. McGlohon, M.; Akoglu, L.; and Faloutsos, C. In Li, Y.; Liu, B.; and Sarawagi, S., editor(s), Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pages 524–532, 2008. ACM
Weighted graphs and disconnected components: patterns and a generator [link]Paper   doi   link   bibtex  
Mobile call graphs: beyond power-law and lognormal distributions. Seshadri, M.; Machiraju, S.; Sridharan, A.; Bolot, J.; Faloutsos, C.; and Leskovec, J. In Li, Y.; Liu, B.; and Sarawagi, S., editor(s), Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pages 596–604, 2008. ACM
Mobile call graphs: beyond power-law and lognormal distributions [link]Paper   doi   link   bibtex  
Colibri: fast mining of large static and dynamic graphs. Tong, H.; Papadimitriou, S.; Sun, J.; Yu, P. S.; and Faloutsos, C. In Li, Y.; Liu, B.; and Sarawagi, S., editor(s), Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pages 686–694, 2008. ACM
Colibri: fast mining of large static and dynamic graphs [link]Paper   doi   link   bibtex  
Social networks: looking ahead. Kumar, R.; Tuzhilin, A.; Faloutsos, C.; Jensen, D. D.; Kossinets, G.; Leskovec, J.; and Tomkins, A. In Li, Y.; Liu, B.; and Sarawagi, S., editor(s), Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, Nevada, USA, August 24-27, 2008, pages 1060, 2008. ACM
Social networks: looking ahead [link]Paper   doi   link   bibtex  
Graph Mining: Laws, Generators and Tools. Faloutsos, C. In Washio, T.; Suzuki, E.; Ting, K. M.; and Inokuchi, A., editor(s), Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference, PAKDD 2008, Osaka, Japan, May 20-23, 2008 Proceedings, volume 5012, of Lecture Notes in Computer Science, pages 1, 2008. Springer
Graph Mining: Laws, Generators and Tools [link]Paper   doi   link   bibtex  
Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data. Sun, J.; Tsourakakis, C. E.; Hoke, E.; Faloutsos, C.; and Eliassi-Rad, T. In Daelemans, W.; Goethals, B.; and Morik, K., editor(s), Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I, volume 5211, of Lecture Notes in Computer Science, pages 22, 2008. Springer
Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data [link]Paper   doi   link   bibtex  
Hierarchical, Parameter-Free Community Discovery. Papadimitriou, S.; Sun, J.; Faloutsos, C.; and Yu, P. S. In Daelemans, W.; Goethals, B.; and Morik, K., editor(s), Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II, volume 5212, of Lecture Notes in Computer Science, pages 170–187, 2008. Springer
Hierarchical, Parameter-Free Community Discovery [link]Paper   doi   link   bibtex  
Semi-Supervised Learning Based on Semiparametric Regularization. Guo, Z.; Zhang, Z. (.; Xing, E. P.; and Faloutsos, C. In Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA, pages 132–142, 2008. SIAM
Semi-Supervised Learning Based on Semiparametric Regularization [link]Paper   doi   link   bibtex  
Efficient Distribution Mining and Classification. Sakurai, Y.; Chong, R.; Li, L.; and Faloutsos, C. In Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA, pages 632–643, 2008. SIAM
Efficient Distribution Mining and Classification [link]Paper   doi   link   bibtex  
Proximity Tracking on Time-Evolving Bipartite Graphs. Tong, H.; Papadimitriou, S.; Yu, P. S.; and Faloutsos, C. In Proceedings of the SIAM International Conference on Data Mining, SDM 2008, April 24-26, 2008, Atlanta, Georgia, USA, pages 704–715, 2008. SIAM
Proximity Tracking on Time-Evolving Bipartite Graphs [link]Paper   doi   link   bibtex  
Outlier-robust clustering using independent components. Böhm, C.; Faloutsos, C.; and Plant, C. In Wang, J. T., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2008, Vancouver, BC, Canada, June 10-12, 2008, pages 185–198, 2008. ACM
Outlier-robust clustering using independent components [link]Paper   doi   link   bibtex  
Proceedings of the first Workshop on Online Social Networks, WOSN 2008, Seattle, WA, USA, August 17-22, 2008. Faloutsos, C.; Karagiannis, T.; and Rodriguez, P., editors. ACM. 2008.
Proceedings of the first Workshop on Online Social Networks, WOSN 2008, Seattle, WA, USA, August 17-22, 2008 [link]Paper   link   bibtex  
Kronecker Graphs: An Approach to Modeling Networks. Leskovec, J.; Chakrabarti, D.; Kleinberg, J. M.; Faloutsos, C.; and Ghahramani, Z. CoRR, abs/0812.4905. 2008.
Kronecker Graphs: An Approach to Modeling Networks [link]Paper   link   bibtex  
  2007 (27)
A fast and effective method to find correlations among attributes in databases. de Sousa, E. P. M.; Jr., C. T.; Traina, A. J. M.; Wu, L.; and Faloutsos, C. Data Min. Knowl. Discov., 14(3): 367–407. 2007.
A fast and effective method to find correlations among attributes in databases [link]Paper   doi   link   bibtex  
On data mining, compression, and Kolmogorov complexity. Faloutsos, C.; and Megalooikonomou, V. Data Min. Knowl. Discov., 15(1): 3–20. 2007.
On data mining, compression, and Kolmogorov complexity [link]Paper   doi   link   bibtex  
Visualization of large networks with min-cut plots, A-plots and R-MAT. Chakrabarti, D.; Faloutsos, C.; and Zhan, Y. Int. J. Hum. Comput. Stud., 65(5): 434–445. 2007.
Visualization of large networks with min-cut plots, A-plots and R-MAT [link]Paper   doi   link   bibtex  
Graph evolution: Densification and shrinking diameters. Leskovec, J.; Kleinberg, J. M.; and Faloutsos, C. ACM Trans. Knowl. Discov. Data, 1(1): 2. 2007.
Graph evolution: Densification and shrinking diameters [link]Paper   doi   link   bibtex  
RIC: Parameter-free noise-robust clustering. Böhm, C.; Faloutsos, C.; Pan, J.; and Plant, C. ACM Trans. Knowl. Discov. Data, 1(3): 10. 2007.
RIC: Parameter-free noise-robust clustering [link]Paper   doi   link   bibtex  
The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient. Jr., C. T.; Filho, R. F. S.; Traina, A. J. M.; Vieira, M. R.; and Faloutsos, C. VLDB J., 16(4): 483–505. 2007.
The Omni-family of all-purpose access methods: a simple and effective way to make similarity search more efficient [link]Paper   doi   link   bibtex  
Stream Monitoring under the Time Warping Distance. Sakurai, Y.; Faloutsos, C.; and Yamamuro, M. In Chirkova, R.; Dogac, A.; Özsu, M. T.; and Sellis, T. K., editor(s), Proceedings of the 23rd International Conference on Data Engineering, ICDE 2007, The Marmara Hotel, Istanbul, Turkey, April 15-20, 2007, pages 1046–1055, 2007. IEEE Computer Society
Stream Monitoring under the Time Warping Distance [link]Paper   doi   link   bibtex  
A Max Margin Framework on Image Annotation and Multimodal Image Retrieval. Guo, Z.; Zhang, Z.; Xing, E. P.; and Faloutsos, C. In Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007, July 2-5, 2007, Beijing, China, pages 504–507, 2007. IEEE Computer Society
A Max Margin Framework on Image Annotation and Multimodal Image Retrieval [link]Paper   doi   link   bibtex  
Scalable modeling of real graphs using Kronecker multiplication. Leskovec, J.; and Faloutsos, C. In Ghahramani, Z., editor(s), Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007), Corvallis, Oregon, USA, June 20-24, 2007, volume 227, of ACM International Conference Proceeding Series, pages 497–504, 2007. ACM
Scalable modeling of real graphs using Kronecker multiplication [link]Paper   doi   link   bibtex  
Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria. Tao, D.; Sun, J.; Wu, X.; Li, X.; Shen, J.; Maybank, S. J.; and Faloutsos, C. In Ishikawa, M.; Doya, K.; Miyamoto, H.; and Yamakawa, T., editor(s), Neural Information Processing, 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I, volume 4984, of Lecture Notes in Computer Science, pages 791–801, 2007. Springer
Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria [link]Paper   doi   link   bibtex  
Finding patterns in blog shapes and blog evolution. McGlohon, M.; Leskovec, J.; Faloutsos, C.; Hurst, M.; and Glance, N. S. In Glance, N. S.; Nicolov, N.; Adar, E.; Hurst, M.; Liberman, M. Y.; and Salvetti, F., editor(s), Proceedings of the First International Conference on Weblogs and Social Media, ICWSM 2007, Boulder, Colorado, USA, March 26-28, 2007, 2007.
Finding patterns in blog shapes and blog evolution [link]Paper   link   bibtex  
Information Survival Threshold in Sensor and P2P Networks. Chakrabarti, D.; Leskovec, J.; Faloutsos, C.; Madden, S.; Guestrin, C.; and Faloutsos, M. In INFOCOM 2007. 26th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 6-12 May 2007, Anchorage, Alaska, USA, pages 1316–1324, 2007. IEEE
Information Survival Threshold in Sensor and P2P Networks [link]Paper   doi   link   bibtex  
Enhanced max margin learning on multimodal data mining in a multimedia database. Guo, Z.; Zhang, Z.; Xing, E. P.; and Faloutsos, C. In Berkhin, P.; Caruana, R.; and Wu, X., editor(s), Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007, pages 340–349, 2007. ACM
Enhanced max margin learning on multimodal data mining in a multimedia database [link]Paper   doi   link   bibtex  
Cost-effective outbreak detection in networks. Leskovec, J.; Krause, A.; Guestrin, C.; Faloutsos, C.; VanBriesen, J. M.; and Glance, N. S. In Berkhin, P.; Caruana, R.; and Wu, X., editor(s), Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007, pages 420–429, 2007. ACM
Cost-effective outbreak detection in networks [link]Paper   doi   link   bibtex  
GraphScope: parameter-free mining of large time-evolving graphs. Sun, J.; Faloutsos, C.; Papadimitriou, S.; and Yu, P. S. In Berkhin, P.; Caruana, R.; and Wu, X., editor(s), Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007, pages 687–696, 2007. ACM
GraphScope: parameter-free mining of large time-evolving graphs [link]Paper   doi   link   bibtex  
Fast best-effort pattern matching in large attributed graphs. Tong, H.; Faloutsos, C.; Gallagher, B.; and Eliassi-Rad, T. In Berkhin, P.; Caruana, R.; and Wu, X., editor(s), Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007, pages 737–746, 2007. ACM
Fast best-effort pattern matching in large attributed graphs [link]Paper   doi   link   bibtex  
Fast direction-aware proximity for graph mining. Tong, H.; Faloutsos, C.; and Koren, Y. In Berkhin, P.; Caruana, R.; and Wu, X., editor(s), Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, August 12-15, 2007, pages 747–756, 2007. ACM
Fast direction-aware proximity for graph mining [link]Paper   doi   link   bibtex  
Less is More: Compact Matrix Decomposition for Large Sparse Graphs. Sun, J.; Xie, Y.; Zhang, H.; and Faloutsos, C. In Proceedings of the Seventh SIAM International Conference on Data Mining, April 26-28, 2007, Minneapolis, Minnesota, USA, pages 366–377, 2007. SIAM
Less is More: Compact Matrix Decomposition for Large Sparse Graphs [link]Paper   doi   link   bibtex  
Patterns of Cascading Behavior in Large Blog Graphs. Leskovec, J.; McGlohon, M.; Faloutsos, C.; Glance, N. S.; and Hurst, M. In Proceedings of the Seventh SIAM International Conference on Data Mining, April 26-28, 2007, Minneapolis, Minnesota, USA, pages 551–556, 2007. SIAM
Patterns of Cascading Behavior in Large Blog Graphs [link]Paper   doi   link   bibtex  
Database techniques with motion capture. Faloutsos, C.; Hodgins, J. K.; and Pollard, N. S. In McMains, S.; and Sloan, P., editor(s), International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2007, San Diego, California, USA, August 5-9, 2007, Courses, pages 1, 2007. ACM
Database techniques with motion capture [link]Paper   doi   link   bibtex  
Mining large graphs and streams using matrix and tensor tools. Faloutsos, C.; Kolda, T. G.; and Sun, J. In Chan, C. Y.; Ooi, B. C.; and Zhou, A., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China, June 12-14, 2007, pages 1174, 2007. ACM
Mining large graphs and streams using matrix and tensor tools [link]Paper   doi   link   bibtex  
Boosting k-Nearest Neighbor Queries Estimating Suitable Query Radii. Vieira, M. R.; Jr., C. T.; Traina, A. J. M.; Arantes, A. S.; and Faloutsos, C. In 19th International Conference on Scientific and Statistical Database Management, SSDBM 2007, 9-11 July 2007, Banff, Canada, Proceedings, pages 10, 2007. IEEE Computer Society
Boosting k-Nearest Neighbor Queries Estimating Suitable Query Radii [link]Paper   doi   link   bibtex  
Data Mining Using Fractals and Power Laws. Faloutsos, C. In Dong, G.; Lin, X.; Wang, W.; Yang, Y.; and Yu, J. X., editor(s), Advances in Data and Web Management, Joint 9th Asia-Pacific Web Conference, APWeb 2007, and 8th International Conference, on Web-Age Information Management, WAIM 2007, Huang Shan, China, June 16-18, 2007, Proceedings, volume 4505, of Lecture Notes in Computer Science, pages 1, 2007. Springer
Data Mining Using Fractals and Power Laws [link]Paper   doi   link   bibtex  
Netprobe: a fast and scalable system for fraud detection in online auction networks. Pandit, S.; Chau, D. H.; Wang, S.; and Faloutsos, C. In Williamson, C. L.; Zurko, M. E.; Patel-Schneider, P. F.; and Shenoy, P. J., editor(s), Proceedings of the 16th International Conference on World Wide Web, WWW 2007, Banff, Alberta, Canada, May 8-12, 2007, pages 201–210, 2007. ACM
Netprobe: a fast and scalable system for fraud detection in online auction networks [link]Paper   doi   link   bibtex  
Parallel crawling for online social networks. Chau, D. H.; Pandit, S.; Wang, S.; and Faloutsos, C. In Williamson, C. L.; Zurko, M. E.; Patel-Schneider, P. F.; and Shenoy, P. J., editor(s), Proceedings of the 16th International Conference on World Wide Web, WWW 2007, Banff, Alberta, Canada, May 8-12, 2007, pages 1283–1284, 2007. ACM
Parallel crawling for online social networks [link]Paper   doi   link   bibtex  
Dimensionality Reduction and Forecasting on Streams. Papadimitriou, S.; Sun, J.; and Faloutsos, C. In Aggarwal, C. C., editor(s), Data Streams - Models and Algorithms, volume 31, of Advances in Database Systems, pages 261–288. Springer, 2007.
Dimensionality Reduction and Forecasting on Streams [link]Paper   doi   link   bibtex  
TKDE Guidelines for Survey Papers. Clifton, C. W.; Wu, X.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 19(11): 1449. 2007.
TKDE Guidelines for Survey Papers [link]Paper   doi   link   bibtex  
  2006 (21)
Graph mining: Laws, generators, and algorithms. Chakrabarti, D.; and Faloutsos, C. ACM Comput. Surv., 38(1): 2. 2006.
Graph mining: Laws, generators, and algorithms [link]Paper   doi   link   bibtex  
Spatial Query Estimation without the Local Uniformity Assumption. Tao, Y.; Faloutsos, C.; and Papadias, D. GeoInformatica, 10(3): 261–293. 2006.
Spatial Query Estimation without the Local Uniformity Assumption [link]Paper   doi   link   bibtex  
Example-Based Outlier Detection for High Dimensional Datasets. Zhu, C.; Kitagawa, H.; and Faloutsos, C. Inf. Media Technol., 1(1): 92–101. 2006.
Example-Based Outlier Detection for High Dimensional Datasets [link]Paper   doi   link   bibtex  
Efficient Discovery of Unusual Patterns in Time Series. de Sousa, E. P. M.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. New Gener. Comput., 25(1): 33–60. 2006.
Efficient Discovery of Unusual Patterns in Time Series [link]Paper   doi   link   bibtex  
InteMon: continuous mining of sensor data in large-scale self-infrastructures. Hoke, E.; Sun, J.; Strunk, J. D.; Ganger, G. R.; and Faloutsos, C. ACM SIGOPS Oper. Syst. Rev., 40(3): 38–44. 2006.
InteMon: continuous mining of sensor data in large-scale self-infrastructures [link]Paper   doi   link   bibtex  
Efficient processing of complex similarity queries in RDBMS through query rewriting. Jr., C. T.; Traina, A. J. M.; Vieira, M. R.; Arantes, A. S.; and Faloutsos, C. In Yu, P. S.; Tsotras, V. J.; Fox, E. A.; and Liu, B., editor(s), Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006, pages 4–13, 2006. ACM
Efficient processing of complex similarity queries in RDBMS through query rewriting [link]Paper   doi   link   bibtex  
Intelligent system monitoring on large clusters. Sun, J.; Hoke, E.; Strunk, J. D.; Ganger, G. R.; and Faloutsos, C. In Labrinidis, A.; and Madden, S., editor(s), Proceedings of the 3rd Workshop on Data Management for Sensor Networks, in conjunction with VLDB, DMSN 2006, Seoul, Korea, September 11, 2006, of ACM International Conference Proceeding Series, pages 47–52, 2006. ACM
Intelligent system monitoring on large clusters [link]Paper   doi   link   bibtex  
Fast Random Walk with Restart and Its Applications. Tong, H.; Faloutsos, C.; and Pan, J. In Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China, pages 613–622, 2006. IEEE Computer Society
Fast Random Walk with Restart and Its Applications [link]Paper   doi   link   bibtex  
SuperGraph Visualization. Jr., J. F. R.; Traina, A. J. M.; Faloutsos, C.; and Jr., C. T. In Eigth IEEE International Symposium on Multimedia (ISM 2006), 11-13 December 2006, San Diego, CA, USA, pages 227–234, 2006. IEEE Computer Society
SuperGraph Visualization [link]Paper   doi   link   bibtex  
Robust information-theoretic clustering. Böhm, C.; Faloutsos, C.; Pan, J.; and Plant, C. In Eliassi-Rad, T.; Ungar, L. H.; Craven, M.; and Gunopulos, D., editor(s), Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, pages 65–75, 2006. ACM
Robust information-theoretic clustering [link]Paper   doi   link   bibtex  
Beyond streams and graphs: dynamic tensor analysis. Sun, J.; Tao, D.; and Faloutsos, C. In Eliassi-Rad, T.; Ungar, L. H.; Craven, M.; and Gunopulos, D., editor(s), Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, pages 374–383, 2006. ACM
Beyond streams and graphs: dynamic tensor analysis [link]Paper   doi   link   bibtex  
Center-piece subgraphs: problem definition and fast solutions. Tong, H.; and Faloutsos, C. In Eliassi-Rad, T.; Ungar, L. H.; Craven, M.; and Gunopulos, D., editor(s), Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, pages 404–413, 2006. ACM
Center-piece subgraphs: problem definition and fast solutions [link]Paper   doi   link   bibtex  
Sampling from large graphs. Leskovec, J.; and Faloutsos, C. In Eliassi-Rad, T.; Ungar, L. H.; Craven, M.; and Gunopulos, D., editor(s), Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, pages 631–636, 2006. ACM
Sampling from large graphs [link]Paper   doi   link   bibtex  
Automatic mining of fruit fly embryo images. Pan, J.; Balan, A. G. R.; Xing, E. P.; Traina, A. J. M.; and Faloutsos, C. In Eliassi-Rad, T.; Ungar, L. H.; Craven, M.; and Gunopulos, D., editor(s), Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, August 20-23, 2006, pages 693–698, 2006. ACM
Automatic mining of fruit fly embryo images [link]Paper   doi   link   bibtex  
Distributed Pattern Discovery in Multiple Streams. Sun, J.; Papadimitriou, S.; and Faloutsos, C. In Ng, W. K.; Kitsuregawa, M.; Li, J.; and Chang, K., editor(s), Advances in Knowledge Discovery and Data Mining, 10th Pacific-Asia Conference, PAKDD 2006, Singapore, April 9-12, 2006, Proceedings, volume 3918, of Lecture Notes in Computer Science, pages 713–718, 2006. Springer
Distributed Pattern Discovery in Multiple Streams [link]Paper   doi   link   bibtex  
An Adaptive Two-Phase Approach to WiFi Location Sensing. Ho, W.; Smailagic, A.; Siewiorek, D. P.; and Faloutsos, C. In 4th IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2006 Workshops), 13-17 March 2006, Pisa, Italy, pages 452–456, 2006. IEEE Computer Society
An Adaptive Two-Phase Approach to WiFi Location Sensing [link]Paper   doi   link   bibtex  
Detecting Fraudulent Personalities in Networks of Online Auctioneers. Chau, D. H.; Pandit, S.; and Faloutsos, C. In Fürnkranz, J.; Scheffer, T.; and Spiliopoulou, M., editor(s), Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings, volume 4213, of Lecture Notes in Computer Science, pages 103–114, 2006. Springer
Detecting Fraudulent Personalities in Networks of Online Auctioneers [link]Paper   doi   link   bibtex  
Evaluating the intrinsic dimension of evolving data streams. de Sousa, E. P. M.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. In Haddad, H., editor(s), Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), Dijon, France, April 23-27, 2006, pages 643–648, 2006. ACM
Evaluating the intrinsic dimension of evolving data streams [link]Paper   doi   link   bibtex  
Data Mining Using Fractals and Power Laws. Faloutsos, C. In Antoniou, G.; Potamias, G.; Spyropoulos, C.; and Plexousakis, D., editor(s), Advances in Artificial Intelligence, 4th Helenic Conference on AI, SETN 2006, Heraklion, Crete, Greece, May 18-20, 2006, Proceedings, volume 3955, of Lecture Notes in Computer Science, pages 2, 2006. Springer
Data Mining Using Fractals and Power Laws [link]Paper   doi   link   bibtex  
GMine: A System for Scalable, Interactive Graph Visualization and Mining. Jr., J. F. R.; Tong, H.; Traina, A. J. M.; Faloutsos, C.; and Leskovec, J. In Dayal, U.; Whang, K.; Lomet, D. B.; Alonso, G.; Lohman, G. M.; Kersten, M. L.; Cha, S. K.; and Kim, Y., editor(s), Proceedings of the 32nd International Conference on Very Large Data Bases, Seoul, Korea, September 12-15, 2006, pages 1195–1198, 2006. ACM
GMine: A System for Scalable, Interactive Graph Visualization and Mining [link]Paper   link   bibtex  
InteMon: Intelligent System Monitoring on Large Clusters. Hoke, E.; Sun, J.; and Faloutsos, C. In Dayal, U.; Whang, K.; Lomet, D. B.; Alonso, G.; Lohman, G. M.; Kersten, M. L.; Cha, S. K.; and Kim, Y., editor(s), Proceedings of the 32nd International Conference on Very Large Data Bases, Seoul, Korea, September 12-15, 2006, pages 1239–1242, 2006. ACM
InteMon: Intelligent System Monitoring on Large Clusters [link]Paper   link   bibtex  
  2005 (19)
Fast estimation of fractal dimension and correlation integral on stream data. Wong, A.; Wu, L.; Gibbons, P. B.; and Faloutsos, C. Inf. Process. Lett., 93(2): 91–97. 2005.
Fast estimation of fractal dimension and correlation integral on stream data [link]Paper   doi   link   bibtex  
Relevance search and anomaly detection in bipartite graphs. Sun, J.; Qu, H.; Chakrabarti, D.; and Faloutsos, C. SIGKDD Explor., 7(2): 48–55. 2005.
Relevance search and anomaly detection in bipartite graphs [link]Paper   doi   link   bibtex  
On Multidimensional Data and Modern Disks. Schlosser, S. W.; Schindler, J.; Papadomanolakis, S.; Shao, M.; Ailamaki, A.; Faloutsos, C.; and Ganger, G. R. In Gibson, G., editor(s), Proceedings of the FAST '05 Conference on File and Storage Technologies, December 13-16, 2005, San Francisco, California, USA, 2005. USENIX
On Multidimensional Data and Modern Disks [link]Paper   link   bibtex  
AutoLag: Automatic Discovery of Lag Correlations in Stream Data. Sakurai, Y.; Papadimitriou, S.; and Faloutsos, C. In Aberer, K.; Franklin, M. J.; and Nishio, S., editor(s), Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan, pages 159–160, 2005. IEEE Computer Society
AutoLag: Automatic Discovery of Lag Correlations in Stream Data [link]Paper   doi   link   bibtex  
A Multiresolution Symbolic Representation of Time Series. Megalooikonomou, V.; Wang, Q.; Li, G.; and Faloutsos, C. In Aberer, K.; Franklin, M. J.; and Nishio, S., editor(s), Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan, pages 668–679, 2005. IEEE Computer Society
A Multiresolution Symbolic Representation of Time Series [link]Paper   doi   link   bibtex  
Online Latent Variable Detection in Sensor Networks. Sun, J.; Papadimitriou, S.; and Faloutsos, C. In Aberer, K.; Franklin, M. J.; and Nishio, S., editor(s), Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan, pages 1126–1127, 2005. IEEE Computer Society
Online Latent Variable Detection in Sensor Networks [link]Paper   doi   link   bibtex  
ViVo: Visual Vocabulary Construction for Mining Biomedical Images. Bhattacharya, A.; Ljosa, V.; Pan, J.; Verardo, M. R.; Yang, H.; Faloutsos, C.; and Singh, A. K. In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA, pages 50–57, 2005. IEEE Computer Society
ViVo: Visual Vocabulary Construction for Mining Biomedical Images [link]Paper   doi   link   bibtex  
Parameter-Free Spatial Data Mining Using MDL. Papadimitriou, S.; Gionis, A.; Tsaparas, P.; Väisänen, R. A.; Mannila, H.; and Faloutsos, C. In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA, pages 346–353, 2005. IEEE Computer Society
Parameter-Free Spatial Data Mining Using MDL [link]Paper   doi   link   bibtex  
Neighborhood Formation and Anomaly Detection in Bipartite Graphs. Sun, J.; Qu, H.; Chakrabarti, D.; and Faloutsos, C. In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA, pages 418–425, 2005. IEEE Computer Society
Neighborhood Formation and Anomaly Detection in Bipartite Graphs [link]Paper   doi   link   bibtex  
Example-Based Robust Outlier Detection in High Dimensional Datasets. Zhu, C.; Kitagawa, H.; and Faloutsos, C. In Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 27-30 November 2005, Houston, Texas, USA, pages 829–832, 2005. IEEE Computer Society
Example-Based Robust Outlier Detection in High Dimensional Datasets [link]Paper   doi   link   bibtex  
Graphs over time: densification laws, shrinking diameters and possible explanations. Leskovec, J.; Kleinberg, J. M.; and Faloutsos, C. In Grossman, R.; Bayardo, R. J.; and Bennett, K. P., editor(s), Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005, pages 177–187, 2005. ACM
Graphs over time: densification laws, shrinking diameters and possible explanations [link]Paper   doi   link   bibtex  
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. Leskovec, J.; Chakrabarti, D.; Kleinberg, J. M.; and Faloutsos, C. In Jorge, A.; Torgo, L.; Brazdil, P.; Camacho, R.; and Gama, J., editor(s), Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings, volume 3721, of Lecture Notes in Computer Science, pages 133–145, 2005. Springer
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication [link]Paper   doi   link   bibtex  
FTW: fast similarity search under the time warping distance. Sakurai, Y.; Yoshikawa, M.; and Faloutsos, C. In Li, C., editor(s), Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, June 13-15, 2005, Baltimore, Maryland, USA, pages 326–337, 2005. ACM
FTW: fast similarity search under the time warping distance [link]Paper   doi   link   bibtex  
Mining Time Series Data. Faloutsos, C. In Heuser, C. A., editor(s), 20° Simpósio Brasileiro de Bancos de Dados, 3-7 de Outubro, 2005, Uberlândia, MG, Brazil, Anais/Proceedings, pages 4–5, 2005. UFU
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BRAID: Stream Mining through Group Lag Correlations. Sakurai, Y.; Papadimitriou, S.; and Faloutsos, C. In Özcan, F., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, Baltimore, Maryland, USA, June 14-16, 2005, pages 599–610, 2005. ACM
BRAID: Stream Mining through Group Lag Correlations [link]Paper   doi   link   bibtex  
Research issues in protein location image databases. Murphy, R. F.; and Faloutsos, C. In Özcan, F., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, Baltimore, Maryland, USA, June 14-16, 2005, pages 966–967, 2005. ACM
Research issues in protein location image databases [link]Paper   doi   link   bibtex  
Streaming Pattern Discovery in Multiple Time-Series. Papadimitriou, S.; Sun, J.; and Faloutsos, C. In Böhm, K.; Jensen, C. S.; Haas, L. M.; Kersten, M. L.; Larson, P.; and Ooi, B. C., editor(s), Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30 - September 2, 2005, pages 697–708, 2005. ACM
Streaming Pattern Discovery in Multiple Time-Series [pdf]Paper   link   bibtex  
A Comparative Study of Feature Vector-Based Topic Detection Schemes A Comparative Study of Feature Vector-Based Topic Detection Schemes. Hamamoto, M.; Kitagawa, H.; Pan, J.; and Faloutsos, C. In 2005 International Workshop on Challenges in Web Information Retrieval and Integration (WIRI 2005), 8-9 April 2005, Tokyo, Japan, pages 122–127, 2005. IEEE Computer Society
A Comparative Study of Feature Vector-Based Topic Detection Schemes A Comparative Study of Feature Vector-Based Topic Detection Schemes [link]Paper   doi   link   bibtex  
Editorial: TKDE Topic Area Revisions. Wu, X.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 17(6): 731–733. 2005.
Editorial: TKDE Topic Area Revisions [link]Paper   doi   link   bibtex  
  2004 (22)
Fractal dimension and vector quantization. Kumaraswamy, K.; Megalooikonomou, V.; and Faloutsos, C. Inf. Process. Lett., 91(3): 107–113. 2004.
Fractal dimension and vector quantization [link]Paper   doi   link   bibtex  
Adaptive, unsupervised stream mining. Papadimitriou, S.; Brockwell, A.; and Faloutsos, C. VLDB J., 13(3): 222–239. 2004.
Adaptive, unsupervised stream mining [link]Paper   doi   link   bibtex  
GCap: Graph-Based Automatic Image Captioning. Pan, J.; Yang, H.; Faloutsos, C.; and Duygulu, P. In Guler, S.; Hauptmann, A. G.; and Henrich, A., editor(s), Proceedings MDDE '04, 4th International Workshop on Multimedia Data and Document Engineering, Washington, DC, USA, July 2nd 2004, 2004. IEEE Computer Society
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GCap: Graph-based Automatic Image Captioning. Pan, J.; Yang, H.; Faloutsos, C.; and Duygulu, P. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2004, Washington, DC, USA, June 27 - July 2, 2004, pages 146, 2004. IEEE Computer Society
GCap: Graph-based Automatic Image Captioning [link]Paper   doi   link   bibtex  
Relation between Fractal Dimension and Performance of Vector Quantization. Kumaraswamy, K.; Faloutsos, C.; Shan, G.; and Megalooikonomou, V. In 2004 Data Compression Conference (DCC 2004), 23-25 March 2004, Snowbird, UT, USA, pages 547, 2004. IEEE Computer Society
Relation between Fractal Dimension and Performance of Vector Quantization [link]Paper   doi   link   bibtex  
Segmenting Motion Capture Data into Distinct Behaviors. Barbic, J.; Safonova, A.; Pan, J.; Faloutsos, C.; Hodgins, J. K.; and Pollard, N. S. In Heidrich, W.; and Balakrishnan, R., editor(s), Proceedings of the Graphics Interface 2004 Conference, May 17-19, 2004, London, Ontario, Canada, volume 62, of ACM International Conference Proceeding Series, pages 185–194, 2004. Canadian Human-Computer Communications Society
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Approximate Temporal Aggregation. Tao, Y.; Papadias, D.; and Faloutsos, C. In Özsoyoglu, Z. M.; and Zdonik, S. B., editor(s), Proceedings of the 20th International Conference on Data Engineering, ICDE 2004, 30 March - 2 April 2004, Boston, MA, USA, pages 190–201, 2004. IEEE Computer Society
Approximate Temporal Aggregation [link]Paper   doi   link   bibtex  
MMSS: Multi-Modal Story-Oriented Video Summarization. Pan, J.; Yang, H.; and Faloutsos, C. In Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK, pages 491–494, 2004. IEEE Computer Society
MMSS: Multi-Modal Story-Oriented Video Summarization [link]Paper   doi   link   bibtex  
Automatic image captioning. Pan, J.; Yang, H.; Duygulu, P.; and Faloutsos, C. In Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, ICME 2004, 27-30 June 2004, Taipei, Taiwan, pages 1987–1990, 2004. IEEE Computer Society
Automatic image captioning [link]Paper   doi   link   bibtex  
Recovering latent time-series from their observed sums: network tomography with particle filters. Airoldi, E. M.; and Faloutsos, C. In Kim, W.; Kohavi, R.; Gehrke, J.; and DuMouchel, W., editor(s), Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pages 30–39, 2004. ACM
Recovering latent time-series from their observed sums: network tomography with particle filters [link]Paper   doi   link   bibtex  
Fully automatic cross-associations. Chakrabarti, D.; Papadimitriou, S.; Modha, D. S.; and Faloutsos, C. In Kim, W.; Kohavi, R.; Gehrke, J.; and DuMouchel, W., editor(s), Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pages 79–88, 2004. ACM
Fully automatic cross-associations [link]Paper   doi   link   bibtex  
Fast discovery of connection subgraphs. Faloutsos, C.; McCurley, K. S.; and Tomkins, A. In Kim, W.; Kohavi, R.; Gehrke, J.; and DuMouchel, W., editor(s), Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pages 118–127, 2004. ACM
Fast discovery of connection subgraphs [link]Paper   doi   link   bibtex  
Automatic multimedia cross-modal correlation discovery. Pan, J.; Yang, H.; Faloutsos, C.; and Duygulu, P. In Kim, W.; Kohavi, R.; Gehrke, J.; and DuMouchel, W., editor(s), Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA, August 22-25, 2004, pages 653–658, 2004. ACM
Automatic multimedia cross-modal correlation discovery [link]Paper   doi   link   bibtex  
Storage Device Performance Prediction with CART Models. Wang, M.; Au, K.; Ailamaki, A.; Brockwell, A.; Faloutsos, C.; and Ganger, G. R. In DeGroot, D.; Harrison, P. G.; Wijshoff, H. A. G.; and Segall, Z., editor(s), 12th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2004), 4-8 October 2004, Vollendam, The Netherlands, pages 588–595, 2004. IEEE Computer Society
Storage Device Performance Prediction with CART Models [link]Paper   doi   link   bibtex  
OBE: Outlier by Example. Zhu, C.; Kitagawa, H.; Papadimitriou, S.; and Faloutsos, C. In Dai, H.; Srikant, R.; and Zhang, C., editor(s), Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings, volume 3056, of Lecture Notes in Computer Science, pages 222–234, 2004. Springer
OBE: Outlier by Example [link]Paper   doi   link   bibtex  
AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases. Pan, J.; Kitagawa, H.; Faloutsos, C.; and Hamamoto, M. In Dai, H.; Srikant, R.; and Zhang, C., editor(s), Advances in Knowledge Discovery and Data Mining, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings, volume 3056, of Lecture Notes in Computer Science, pages 519–528, 2004. Springer
AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases [link]Paper   doi   link   bibtex  
R-MAT: A Recursive Model for Graph Mining. Chakrabarti, D.; Zhan, Y.; and Faloutsos, C. In Berry, M. W.; Dayal, U.; Kamath, C.; and Skillicorn, D. B., editor(s), Proceedings of the Fourth SIAM International Conference on Data Mining, Lake Buena Vista, Florida, USA, April 22-24, 2004, pages 442–446, 2004. SIAM
R-MAT: A Recursive Model for Graph Mining [link]Paper   doi   link   bibtex  
Automated Assistance for Eliciting User Expectations. Raz, O.; Buchheit, R. B.; Shaw, M.; Koopman, P.; and Faloutsos, C. In Maurer, F.; and Ruhe, G., editor(s), Proceedings of the Sixteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2004), Banff, Alberta, Canada, June 20-24, 2004, pages 80–85, 2004.
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Storage device performance prediction with CART models. Wang, M.; Au, K.; Ailamaki, A.; Brockwell, A.; Faloutsos, C.; and Ganger, G. R. In Jr., E. G. C.; Liu, Z.; and Merchant, A., editor(s), Proceedings of the International Conference on Measurements and Modeling of Computer Systems, SIGMETRICS 2004, June 10-14, 2004, New York, NY, USA, pages 412–413, 2004. ACM
Storage device performance prediction with CART models [link]Paper   doi   link   bibtex  
Prediction and Indexing of Moving Objects with Unknown Motion Patterns. Tao, Y.; Faloutsos, C.; Papadias, D.; and Liu, B. In Weikum, G.; König, A. C.; and Deßloch, S., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004, pages 611–622, 2004. ACM
Prediction and Indexing of Moving Objects with Unknown Motion Patterns [link]Paper   doi   link   bibtex  
Indexing and Mining Streams. Faloutsos, C. In Weikum, G.; König, A. C.; and Deßloch, S., editor(s), Proceedings of the ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004, pages 969, 2004. ACM
Indexing and Mining Streams [link]Paper   doi   link   bibtex  
Auditing Compliance with a Hippocratic Database. Agrawal, R.; Jr., R. J. B.; Faloutsos, C.; Kiernan, J.; Rantzau, R.; and Srikant, R. In Nascimento, M. A.; Özsu, M. T.; Kossmann, D.; Miller, R. J.; Blakeley, J. A.; and Schiefer, K. B., editor(s), (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31 - September 3 2004, pages 516–527, 2004. Morgan Kaufmann
Auditing Compliance with a Hippocratic Database [pdf]Paper   doi   link   bibtex  
  2003 (11)
An environmental sensor network to determine drinking water quality and security. Ailamaki, A.; Faloutsos, C.; Fischbeck, P. S.; Small, M. J.; and VanBriesen, J. M. SIGMOD Rec., 32(4): 47–52. 2003.
An environmental sensor network to determine drinking water quality and security [link]Paper   doi   link   bibtex  
Power laws and the AS-level internet topology. Siganos, G.; Faloutsos, M.; Faloutsos, P.; and Faloutsos, C. IEEE/ACM Trans. Netw., 11(4): 514–524. 2003.
Power laws and the AS-level internet topology [link]Paper   doi   link   bibtex  
The power-method: a comprehensive estimation technique for multi-dimensional queries. Tao, Y.; Faloutsos, C.; and Papadias, D. In Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, New Orleans, Louisiana, USA, November 2-8, 2003, pages 83–90, 2003. ACM
The power-method: a comprehensive estimation technique for multi-dimensional queries [link]Paper   doi   link   bibtex  
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data. Faloutsos, C. In Lavrac, N.; Gamberger, D.; Todorovski, L.; and Blockeel, H., editor(s), Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings, volume 2837, of Lecture Notes in Computer Science, pages 10–15, 2003. Springer
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data [link]Paper   doi   link   bibtex  
LOCI: Fast Outlier Detection Using the Local Correlation Integral. Papadimitriou, S.; Kitagawa, H.; Gibbons, P. B.; and Faloutsos, C. In Dayal, U.; Ramamritham, K.; and Vijayaraman, T. M., editor(s), Proceedings of the 19th International Conference on Data Engineering, March 5-8, 2003, Bangalore, India, pages 315–326, 2003. IEEE Computer Society
LOCI: Fast Outlier Detection Using the Local Correlation Integral [link]Paper   doi   link   bibtex  
Electricity Based External Similarity of Categorical Attributes. Palmer, C. R.; and Faloutsos, C. In Whang, K.; Jeon, J.; Shim, K.; and Srivastava, J., editor(s), Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003, Proceedings, volume 2637, of Lecture Notes in Computer Science, pages 486–500, 2003. Springer
Electricity Based External Similarity of Categorical Attributes [link]Paper   doi   link   bibtex  
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data. Faloutsos, C. In Lavrac, N.; Gamberger, D.; Blockeel, H.; and Todorovski, L., editor(s), Knowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings, volume 2838, of Lecture Notes in Computer Science, pages 10–15, 2003. Springer
Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data [link]Paper   doi   link   bibtex  
Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint. Wang, Y.; Chakrabarti, D.; Wang, C.; and Faloutsos, C. In 22nd Symposium on Reliable Distributed Systems (SRDS 2003), 6-8 October 2003, Florence, Italy, pages 25–34, 2003. IEEE Computer Society
Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint [link]Paper   doi   link   bibtex  
Cross-Outlier Detection. Papadimitriou, S.; and Faloutsos, C. In Hadzilacos, T.; Manolopoulos, Y.; Roddick, J. F.; and Theodoridis, Y., editor(s), Advances in Spatial and Temporal Databases, 8th International Symposium, SSTD 2003, Santorini Island, Greece, July 24-27, 2003, Proceedings, volume 2750, of Lecture Notes in Computer Science, pages 199–213, 2003. Springer
Cross-Outlier Detection [link]Paper   doi   link   bibtex  
Adaptive, Hands-Off Stream Mining. Papadimitriou, S.; Brockwell, A.; and Faloutsos, C. In Freytag, J. C.; Lockemann, P. C.; Abiteboul, S.; Carey, M. J.; Selinger, P. G.; and Heuer, A., editor(s), Proceedings of 29th International Conference on Very Large Data Bases, VLDB 2003, Berlin, Germany, September 9-12, 2003, pages 560–571, 2003. Morgan Kaufmann
Adaptive, Hands-Off Stream Mining [pdf]Paper   doi   link   bibtex  
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24 - 27, 2003. Getoor, L.; Senator, T. E.; Domingos, P. M.; and Faloutsos, C., editors. ACM. 2003.
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  2002 (18)
Data-driven evolution of data mining algorithms. Smyth, P.; Pregibon, D.; and Faloutsos, C. Commun. ACM, 45(8): 33–37. 2002.
Data-driven evolution of data mining algorithms [link]Paper   doi   link   bibtex  
Fundamentals of Scheduling and Performance of Video Tape Libraries. Georgiadis, C.; Triantafillou, P.; and Faloutsos, C. Multim. Tools Appl., 18(2): 137–158. 2002.
Fundamentals of Scheduling and Performance of Video Tape Libraries [link]Paper   doi   link   bibtex  
Capturing the spatio-temporal behavior of real traffic data. Wang, M.; Ailamaki, A.; and Faloutsos, C. Perform. Evaluation, 49(1/4): 147–163. 2002.
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KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches. Adibi, J.; and Faloutsos, C. SIGKDD Explor., 4(2): 115–117. 2002.
KDD-2002 Workshop Report Fractals and Self-similarity in Data Mining: Issues and Approaches [link]Paper   doi   link   bibtex  
Fast Indexing and Visualization of Metric Data Sets using Slim-Trees. Jr., C. T.; Traina, A. J. M.; Faloutsos, C.; and Seeger, B. IEEE Trans. Knowl. Data Eng., 14(2): 244–260. 2002.
Fast Indexing and Visualization of Metric Data Sets using Slim-Trees [link]Paper   doi   link   bibtex  
ImageMap: An Image Indexing Method Based on Spatial Similarity. Petrakis, E. G. M.; Faloutsos, C.; and Lin, K. IEEE Trans. Knowl. Data Eng., 14(5): 979–987. 2002.
ImageMap: An Image Indexing Method Based on Spatial Similarity [link]Paper   doi   link   bibtex  
F4: large-scale automated forecasting using fractals. Chakrabarti, D.; and Faloutsos, C. In Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, McLean, VA, USA, November 4-9, 2002, pages 2–9, 2002. ACM
F4: large-scale automated forecasting using fractals [link]Paper   doi   link   bibtex  
Future directions in data mining: streams, networks, self-similarity and power laws. Faloutsos, C. In Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, McLean, VA, USA, November 4-9, 2002, pages 93, 2002. ACM
Future directions in data mining: streams, networks, self-similarity and power laws [link]Paper   doi   link   bibtex  
How to improve the pruning ability of dynamic metric access methods. Jr., C. T.; Traina, A. J. M.; Filho, R. F. S.; and Faloutsos, C. In Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, McLean, VA, USA, November 4-9, 2002, pages 219–226, 2002. ACM
How to improve the pruning ability of dynamic metric access methods [link]Paper   doi   link   bibtex  
"GeoPlot": spatial data mining on video libraries. Pan, J.; and Faloutsos, C. In Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, McLean, VA, USA, November 4-9, 2002, pages 405–412, 2002. ACM
"GeoPlot": spatial data mining on video libraries [link]Paper   doi   link   bibtex  
Indexing Values in Continuous Field Databases. Kang, M.; Faloutsos, C.; Laurini, R.; and Servigne, S. In Jensen, C. S.; Jeffery, K. G.; Pokorný, J.; Saltenis, S.; Bertino, E.; Böhm, K.; and Jarke, M., editor(s), Advances in Database Technology - EDBT 2002, 8th International Conference on Extending Database Technology, Prague, Czech Republic, March 25-27, Proceedings, volume 2287, of Lecture Notes in Computer Science, pages 197–214, 2002. Springer
Indexing Values in Continuous Field Databases [link]Paper   doi   link   bibtex  
FastCARS: fast, correlation-aware sampling for network data mining. Pan, J.; Seshan, S.; and Faloutsos, C. In Proceedings of the Global Telecommunications Conference, 2002. GLOBECOM '02, Taipei, Taiwan, 17-21 November, 2002, pages 2155–2159, 2002. IEEE
FastCARS: fast, correlation-aware sampling for network data mining [link]Paper   doi   link   bibtex  
VideoCube: A Novel Tool for Video Mining and Classification. Pan, J.; and Faloutsos, C. In Lim, E.; Foo, S.; Khoo, C. S. G.; Chen, H.; Fox, E. A.; Urs, S. R.; and Thanos, C., editor(s), Digital Libraries: People, Knowledge, and Technology, 5th International Conference on Asian Digital Libraries, ICADL 2002 Singapore, December 11-14, 2002, Proceedings, volume 2555, of Lecture Notes in Computer Science, pages 194–205, 2002. Springer
VideoCube: A Novel Tool for Video Mining and Classification [link]Paper   doi   link   bibtex  
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic. Wang, M.; Chan, N. H.; Papadimitriou, S.; Faloutsos, C.; and Madhyastha, T. M. In Agrawal, R.; and Dittrich, K. R., editor(s), Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26 - March 1, 2002, pages 507–516, 2002. IEEE Computer Society
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic [link]Paper   doi   link   bibtex  
Data Visualization in RDBMS. Barioni, M. C. N.; Botelho, E.; Faloutsos, C.; Razente, H. L.; Traina, A. J. M.; and Jr., C. T. In Kiyoki, Y.; Yoshikawa, M.; and Tanaka, K., editor(s), Information Systems and Databases (ISDB 2002), Proceedings of the IASTED International Conference, September 25-27, 2002, Tokyo, Japan, pages 264–269, 2002. Acta Press
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ANF: a fast and scalable tool for data mining in massive graphs. Palmer, C. R.; Gibbons, P. B.; and Faloutsos, C. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada, pages 81–90, 2002. ACM
ANF: a fast and scalable tool for data mining in massive graphs [link]Paper   doi   link   bibtex  
Making every bit count: fast nonlinear axis scaling. Wu, L.; and Faloutsos, C. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada, pages 664–669, 2002. ACM
Making every bit count: fast nonlinear axis scaling [link]Paper   doi   link   bibtex  
Sensor Data Mining: Similarity Search and Pattern Analysis. Faloutsos, C. In Proceedings of 28th International Conference on Very Large Data Bases, VLDB 2002, Hong Kong, August 20-23, 2002, 2002. Morgan Kaufmann
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  2001 (11)
Active Disks for Large-Scale Data Processing. Riedel, E.; Faloutsos, C.; Gibson, G. A.; and Nagle, D. Computer, 34(6): 68–74. 2001.
Active Disks for Large-Scale Data Processing [link]Paper   doi   link   bibtex  
Identifying Web Browsing Trends and Patterns. Montgomery, A. L.; and Faloutsos, C. Computer, 34(7): 94–95. 2001.
Identifying Web Browsing Trends and Patterns [link]Paper   doi   link   bibtex  
Multimedia Queries by Example and Relevance Feedback. Wu, L.; Faloutsos, C.; Sycara, K. P.; and Payne, T. R. IEEE Data Eng. Bull., 24(3): 14–21. 2001.
Multimedia Queries by Example and Relevance Feedback [pdf]Paper   link   bibtex  
On the 'Dimensionality Curse' and the 'Self-Similarity Blessing'. Korn, F.; Pagel, B.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 13(1): 96–111. 2001.
On the 'Dimensionality Curse' and the 'Self-Similarity Blessing' [link]Paper   doi   link   bibtex  
Analysis of the Clustering Properties of the Hilbert Space-Filling Curve. Moon, B.; Jagadish, H. V.; Faloutsos, C.; and Saltz, J. H. IEEE Trans. Knowl. Data Eng., 13(1): 124–141. 2001.
Analysis of the Clustering Properties of the Hilbert Space-Filling Curve [link]Paper   doi   link   bibtex  
Accurate Modeling of Region Data. Proietti, G.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 13(6): 874–883. 2001.
Accurate Modeling of Region Data [link]Paper   doi   link   bibtex  
Similarity Search without Tears: The OMNI Family of All-purpose Access Methods. Filho, R. F. S.; Traina, A. J. M.; Jr., C. T.; and Faloutsos, C. In Georgakopoulos, D.; and Buchmann, A., editor(s), Proceedings of the 17th International Conference on Data Engineering, April 2-6, 2001, Heidelberg, Germany, pages 623–630, 2001. IEEE Computer Society
Similarity Search without Tears: The OMNI Family of All-purpose Access Methods [link]Paper   doi   link   bibtex  
VideoGraph: a new tool for video mining and classification. Pan, J.; and Faloutsos, C. In ACM/IEEE Joint Conference on Digital Libraries, JCDL 2001, Roanoke, Virginia, USA, June 24-28, 2001, Proceedings, pages 116–117, 2001. ACM
VideoGraph: a new tool for video mining and classification [link]Paper   doi   link   bibtex  
The "DGX" distribution for mining massive, skewed data. Bi, Z.; Faloutsos, C.; and Korn, F. In Lee, D.; Schkolnick, M.; Provost, F. J.; and Srikant, R., editor(s), Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001, pages 17–26, 2001. ACM
The "DGX" distribution for mining massive, skewed data [link]Paper   doi   link   bibtex  
Tri-plots: scalable tools for multidimensional data mining. Traina, A. J. M.; Jr., C. T.; Papadimitriou, S.; and Faloutsos, C. In Lee, D.; Schkolnick, M.; Provost, F. J.; and Srikant, R., editor(s), Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001, pages 184–193, 2001. ACM
Tri-plots: scalable tools for multidimensional data mining [link]Paper   doi   link   bibtex  
NetCube: A Scalable Tool for Fast Data Mining and Compression. Margaritis, D.; Faloutsos, C.; and Thrun, S. In Apers, P. M. G.; Atzeni, P.; Ceri, S.; Paraboschi, S.; Ramamohanarao, K.; and Snodgrass, R. T., editor(s), VLDB 2001, Proceedings of 27th International Conference on Very Large Data Bases, September 11-14, 2001, Roma, Italy, pages 311–320, 2001. Morgan Kaufmann
NetCube: A Scalable Tool for Fast Data Mining and Compression [pdf]Paper   link   bibtex  
  2000 (14)
Reminiscences on Influential Papers. Ross, K. A.; Faloutsos, C.; Levy, A. Y.; O'Neil, P. E.; Simon, E.; Srivastava, D.; Vianu, V.; and Weikum, G. SIGMOD Rec., 29(1): 52–65. 2000.
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Analysis of Range Queries and Self-Spatial Join Queries on Real Region Datasets Stored Using an R-Tree. Proietti, G.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 12(5): 751–762. 2000.
Analysis of Range Queries and Self-Spatial Join Queries on Real Region Datasets Stored Using an R-Tree [link]Paper   doi   link   bibtex  
Quantifiable Data Mining Using Ratio Rules. Korn, F.; Labrinidis, A.; Kotidis, Y.; and Faloutsos, C. VLDB J., 8(3-4): 254–266. 2000.
Quantifiable Data Mining Using Ratio Rules [link]Paper   doi   link   bibtex  
Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes. Jr., C. T.; Traina, A. J. M.; Seeger, B.; and Faloutsos, C. In Zaniolo, C.; Lockemann, P. C.; Scholl, M. H.; and Grust, T., editor(s), Advances in Database Technology - EDBT 2000, 7th International Conference on Extending Database Technology, Konstanz, Germany, March 27-31, 2000, Proceedings, volume 1777, of Lecture Notes in Computer Science, pages 51–65, 2000. Springer
Slim-Trees: High Performance Metric Trees Minimizing Overlap Between Nodes [link]Paper   doi   link   bibtex  
Online Data Mining for Co-Evolving Time Sequences. Yi, B.; Sidiropoulos, N. D.; Johnson, T.; Jagadish, H. V.; Faloutsos, C.; and Biliris, A. In Lomet, D. B.; and Weikum, G., editor(s), Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28 - March 3, 2000, pages 13–22, 2000. IEEE Computer Society
Online Data Mining for Co-Evolving Time Sequences [link]Paper   doi   link   bibtex  
Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees. Jr., C. T.; Traina, A. J. M.; and Faloutsos, C. In Lomet, D. B.; and Weikum, G., editor(s), Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28 - March 3, 2000, pages 195, 2000. IEEE Computer Society
Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees [link]Paper   doi   link   bibtex  
Deflating the Dimensionality Curse Using Multiple Fractal Dimensions. Pagel, B.; Korn, F.; and Faloutsos, C. In Lomet, D. B.; and Weikum, G., editor(s), Proceedings of the 16th International Conference on Data Engineering, San Diego, California, USA, February 28 - March 3, 2000, pages 589–598, 2000. IEEE Computer Society
Deflating the Dimensionality Curse Using Multiple Fractal Dimensions [link]Paper   doi   link   bibtex  
Fast Feature Selection Using Fractal Dimension. Jr., C. T.; Traina, A. J. M.; Wu, L.; and Faloutsos, C. In Becker, K.; de Souza, A. A.; de Souza Fernandes, D. Y.; and Batista, D. C. F., editor(s), XV Simpósio Brasileiro de Banco de Dados, 2-4 Outubro 2000, João Pessoa, Paraíba, Brasil, Anais, pages 158–171, 2000. CEFET-PB
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Data Mining on an OLTP System (Nearly) for Free. Riedel, E.; Faloutsos, C.; Ganger, G. R.; and Nagle, D. In Chen, W.; Naughton, J. F.; and Bernstein, P. A., editor(s), Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16-18, 2000, Dallas, Texas, USA, pages 13–21, 2000. ACM
Data Mining on an OLTP System (Nearly) for Free [link]Paper   doi   link   bibtex  
Density Biased Sampling: An Improved Method for Data Mining and Clustering. Palmer, C. R.; and Faloutsos, C. In Chen, W.; Naughton, J. F.; and Bernstein, P. A., editor(s), Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16-18, 2000, Dallas, Texas, USA, pages 82–92, 2000. ACM
Density Biased Sampling: An Improved Method for Data Mining and Clustering [link]Paper   doi   link   bibtex  
Spatial Join Selectivity Using Power Laws. Faloutsos, C.; Seeger, B.; Traina, A. J. M.; and Jr., C. T. In Chen, W.; Naughton, J. F.; and Bernstein, P. A., editor(s), Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16-18, 2000, Dallas, Texas, USA, pages 177–188, 2000. ACM
Spatial Join Selectivity Using Power Laws [link]Paper   doi   link   bibtex  
Searching, Data Mining and Visualization of Multimedia Data. Faloutsos, C. In Arisawa, H.; and Catarci, T., editor(s), Advances in Visual Information Management, proceedings of the Fifth Working Conference on Visual Database Systems (VDB5), Fukuoka, Japan, May 10-12, 2000, volume 168, of IFIP Conference Proceedings, pages 141, 2000. Kluwer
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FALCON: Feedback Adaptive Loop for Content-Based Retrieval. Wu, L.; Faloutsos, C.; Sycara, K. P.; and Payne, T. R. In Abbadi, A. E.; Brodie, M. L.; Chakravarthy, S.; Dayal, U.; Kamel, N.; Schlageter, G.; and Whang, K., editor(s), VLDB 2000, Proceedings of 26th International Conference on Very Large Data Bases, September 10-14, 2000, Cairo, Egypt, pages 297–306, 2000. Morgan Kaufmann
FALCON: Feedback Adaptive Loop for Content-Based Retrieval [pdf]Paper   link   bibtex  
Fast Time Sequence Indexing for Arbitrary Lp Norms. Yi, B.; and Faloutsos, C. In Abbadi, A. E.; Brodie, M. L.; Chakravarthy, S.; Dayal, U.; Kamel, N.; Schlageter, G.; and Whang, K., editor(s), VLDB 2000, Proceedings of 26th International Conference on Very Large Data Bases, September 10-14, 2000, Cairo, Egypt, pages 385–394, 2000. Morgan Kaufmann
Fast Time Sequence Indexing for Arbitrary Lp Norms [pdf]Paper   link   bibtex  
  1999 (5)
Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field. Thrun, S.; Faloutsos, C.; Mitchell, T. M.; and Wasserman, L. A. AI Mag., 20(3): 78–82. 1999.
Automated Learning and Discovery State-of-the-Art and Research Topics in a Rapidly Growing Field [link]Paper   doi   link   bibtex  
I/O Complexity for Range Queries on Region Data Stored Using an R-tree. Proietti, G.; and Faloutsos, C. In Kitsuregawa, M.; Papazoglou, M. P.; and Pu, C., editor(s), Proceedings of the 15th International Conference on Data Engineering, Sydney, Australia, March 23-26, 1999, pages 628–635, 1999. IEEE Computer Society
I/O Complexity for Range Queries on Region Data Stored Using an R-tree [link]Paper   doi   link   bibtex  
Informed Prefetching of Collective Input/Output Requests. Madhyastha, T. M.; Gibson, G. A.; and Faloutsos, C. In Proceedings of the ACM/IEEE Conference on Supercomputing, SC 1999, November 13-19, 1999, Portland, Oregon, USA, pages 13, 1999. ACM
Informed Prefetching of Collective Input/Output Requests [link]Paper   doi   link   bibtex  
On Power-law Relationships of the Internet Topology. Faloutsos, M.; Faloutsos, P.; and Faloutsos, C. In Chapin, L.; Sterbenz, J. P. G.; Parulkar, G. M.; and Turner, J. S., editor(s), Proceedings of the ACM SIGCOMM 1999 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, August 30 - September 3, 1999, Cambridge, Massachusetts, USA, pages 251–262, 1999. ACM
On Power-law Relationships of the Internet Topology [link]Paper   doi   link   bibtex  
SIGMOD 1999, Proceedings ACM SIGMOD International Conference on Management of Data, June 1-3, 1999, Philadelphia, Pennsylvania, USA. Delis, A.; Faloutsos, C.; and Ghandeharizadeh, S., editors. ACM Press. 1999.
SIGMOD 1999, Proceedings ACM SIGMOD International Conference on Management of Data, June 1-3, 1999, Philadelphia, Pennsylvania, USA [link]Paper   doi   link   bibtex  
  1998 (11)
Overlay Striping and Optimal Parallel I/O for Modern Applications. Triantafillou, P.; and Faloutsos, C. Parallel Comput., 24(1): 21–43. 1998.
Overlay Striping and Optimal Parallel I/O for Modern Applications [link]Paper   doi   link   bibtex  
Designing Access Methods for Bitemporal Databases. Kumar, A.; Tsotras, V. J.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 10(1): 1–20. 1998.
Designing Access Methods for Bitemporal Databases [link]Paper   doi   link   bibtex  
Fast and Effective Retrieval of Medical Tumor Shapes. Korn, F.; Sidiropoulos, N. D.; Faloutsos, C.; Siegel, E. L.; and Protopapas, Z. IEEE Trans. Knowl. Data Eng., 10(6): 889–904. 1998.
Fast and Effective Retrieval of Medical Tumor Shapes [link]Paper   doi   link   bibtex  
Self-Spacial Join Selectivity Estimation Using Fractal Concepts. Belussi, A.; and Faloutsos, C. ACM Trans. Inf. Syst., 16(2): 161–201. 1998.
Self-Spacial Join Selectivity Estimation Using Fractal Concepts [link]Paper   doi   link   bibtex  
Selectivity Estimation of Window Queries. Proietti, G.; and Faloutsos, C. In Gardarin, G.; French, J. C.; Pissinou, N.; Makki, K.; and Bouganim, L., editor(s), Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, Bethesda, Maryland, USA, November 3-7, 1998, pages 340–347, 1998. ACM
Selectivity Estimation of Window Queries [link]Paper   doi   link   bibtex  
Image Indexing and Retrieval Based on Human Perceptual Color Clustering. Gong, Y.; Proietti, G.; and Faloutsos, C. In 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), June 23-25, 1998, Santa Barbara, CA, USA, pages 578–583, 1998. IEEE Computer Society
Image Indexing and Retrieval Based on Human Perceptual Color Clustering [link]Paper   doi   link   bibtex  
Efficient Retrieval of Similar Time Sequences Under Time Warping. Yi, B.; Jagadish, H. V.; and Faloutsos, C. In Urban, S. D.; and Bertino, E., editor(s), Proceedings of the Fourteenth International Conference on Data Engineering, Orlando, Florida, USA, February 23-27, 1998, pages 201–208, 1998. IEEE Computer Society
Efficient Retrieval of Similar Time Sequences Under Time Warping [link]Paper   doi   link   bibtex  
Developing High-Level Representations of Video Clips using VideoTrails. Kobla, V.; Doermann, D. S.; and Faloutsos, C. In Sethi, I. K.; and Jain, R. C., editor(s), Storage and Retrieval for Image and Video Databases VI, San Jose, CA, USA, January 28-30, 1998, volume 3312, of SPIE Proceedings, pages 81–92, 1998. SPIE
Developing High-Level Representations of Video Clips using VideoTrails [link]Paper   doi   link   bibtex  
Active Storage for Large-Scale Data Mining and Multimedia. Riedel, E.; Gibson, G. A.; and Faloutsos, C. In Gupta, A.; Shmueli, O.; and Widom, J., editor(s), VLDB'98, Proceedings of 24rd International Conference on Very Large Data Bases, August 24-27, 1998, New York City, New York, USA, pages 62–73, 1998. Morgan Kaufmann
Active Storage for Large-Scale Data Mining and Multimedia [pdf]Paper   link   bibtex  
MindReader: Querying Databases Through Multiple Examples. Ishikawa, Y.; Subramanya, R.; and Faloutsos, C. In Gupta, A.; Shmueli, O.; and Widom, J., editor(s), VLDB'98, Proceedings of 24rd International Conference on Very Large Data Bases, August 24-27, 1998, New York City, New York, USA, pages 218–227, 1998. Morgan Kaufmann
MindReader: Querying Databases Through Multiple Examples [pdf]Paper   link   bibtex  
Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining. Korn, F.; Labrinidis, A.; Kotidis, Y.; and Faloutsos, C. In Gupta, A.; Shmueli, O.; and Widom, J., editor(s), VLDB'98, Proceedings of 24rd International Conference on Very Large Data Bases, August 24-27, 1998, New York City, New York, USA, pages 582–593, 1998. Morgan Kaufmann
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  1997 (13)
Advanced Database Systems. Zaniolo, C.; Ceri, S.; Faloutsos, C.; Snodgrass, R. T.; Subrahmanian, V. S.; and Zicari, R. V. Morgan Kaufmann, 1997.
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The New Jersey Data Reduction Report. Barbará, D.; DuMouchel, W.; Faloutsos, C.; Haas, P. J.; Hellerstein, J. M.; Ioannidis, Y. E.; Jagadish, H. V.; Johnson, T.; Ng, R. T.; Poosala, V.; Ross, K. A.; and Sevcik, K. C. IEEE Data Eng. Bull., 20(4): 3–45. 1997.
The New Jersey Data Reduction Report [pdf]Paper   link   bibtex  
Relaxing the Uniformity and Independence Assumptions Using the Concept of Fractal Dimension. Faloutsos, C.; and Kamel, I. J. Comput. Syst. Sci., 55(2): 229–240. 1997.
Relaxing the Uniformity and Independence Assumptions Using the Concept of Fractal Dimension [link]Paper   doi   link   bibtex  
Analysis of the n-Dimensional Quadtree Decomposition for Arbitrary Hyperectangles. Faloutsos, C.; Jagadish, H. V.; and Manolopoulos, Y. IEEE Trans. Knowl. Data Eng., 9(3): 373–383. 1997.
Analysis of the n-Dimensional Quadtree Decomposition for Arbitrary Hyperectangles [link]Paper   doi   link   bibtex  
Similarity Searching in Medical Image Databases. Petrakis, E. G. M.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 9(3): 435–447. 1997.
Similarity Searching in Medical Image Databases [link]Paper   doi   link   bibtex  
\emphVideoTrails: Representing and Visualizing Structure in Video Sequences. Kobla, V.; Doermann, D. S.; and Faloutsos, C. In Glinert, E. P.; Johnson, M. S.; Foley, J.; and Hollan, J., editor(s), Proceedings of the Fifth ACM International Conference on Multimedia '97, Seattle, WA, USA, November 9-13, 1997, pages 335–346, 1997. ACM Press
\emphVideoTrails: Representing and Visualizing Structure in Video Sequences [link]Paper   doi   link   bibtex  
A signature technique for similarity-based queries. Faloutsos, C.; Jagadish, H. V.; Mendelzon, A. O.; and Milo, T. In Carpentieri, B.; Santis, A. D.; Vaccaro, U.; and Storer, J. A., editor(s), Compression and Complexity of SEQUENCES 1997, Positano, Amalfitan Coast, Salerno, Italy, June 11-13, 1997, Proceedings, pages 2–20, 1997. IEEE
A signature technique for similarity-based queries [link]Paper   doi   link   bibtex  
Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences. Korn, F.; Jagadish, H. V.; and Faloutsos, C. In Peckham, J., editor(s), SIGMOD 1997, Proceedings ACM SIGMOD International Conference on Management of Data, May 13-15, 1997, Tucson, Arizona, USA, pages 289–300, 1997. ACM Press
Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences [link]Paper   doi   link   bibtex  
Multimedia Indexing over the Web. Agnew, B.; Faloutsos, C.; Wang, Z.; Welch, D. J.; and Xue, X. In Sethi, I. K.; and Jain, R. C., editor(s), Storage and Retrieval for Image and Video Databases V, San Jose, CA, USA, February 8-14, 1997, volume 3022, of SPIE Proceedings, pages 72–83, 1997. SPIE
Multimedia Indexing over the Web [link]Paper   doi   link   bibtex  
Compressed-Domain Video Indexing Techniques Using DCT and Motion Vector Information in MPEG Video. Kobla, V.; Doermann, D. S.; Lin, K.; and Faloutsos, C. In Sethi, I. K.; and Jain, R. C., editor(s), Storage and Retrieval for Image and Video Databases V, San Jose, CA, USA, February 8-14, 1997, volume 3022, of SPIE Proceedings, pages 200–211, 1997. SPIE
Compressed-Domain Video Indexing Techniques Using DCT and Motion Vector Information in MPEG Video [link]Paper   doi   link   bibtex  
Multidimensional Access Methods: Trees Have Grown Everywhere. Sellis, T. K.; Roussopoulos, N.; and Faloutsos, C. In Jarke, M.; Carey, M. J.; Dittrich, K. R.; Lochovsky, F. H.; Loucopoulos, P.; and Jeusfeld, M. A., editor(s), VLDB'97, Proceedings of 23rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece, pages 13–14, 1997. Morgan Kaufmann
Multidimensional Access Methods: Trees Have Grown Everywhere [pdf]Paper   link   bibtex  
Recovering Information from Summary Data. Faloutsos, C.; Jagadish, H. V.; and Sidiropoulos, N. D. In Jarke, M.; Carey, M. J.; Dittrich, K. R.; Lochovsky, F. H.; Loucopoulos, P.; and Jeusfeld, M. A., editor(s), VLDB'97, Proceedings of 23rd International Conference on Very Large Data Bases, August 25-29, 1997, Athens, Greece, pages 36–45, 1997. Morgan Kaufmann
Recovering Information from Summary Data [pdf]Paper   link   bibtex  
Indexing of Multimedia Data. Faloutsos, C. In Apers, P. M. G.; Blanken, H. M.; and Houtsma, M. A. W., editor(s), Multimedia Databases in Perspective, pages 219–245. Springer, 1997.
Indexing of Multimedia Data [link]Paper   doi   link   bibtex  
  1996 (7)
Searching Multimedia Databases by Content. Faloutsos, C. Volume 3 of Advances in Database SystemsKluwer, 1996.
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Experimenting with Pattern-Matching Algorithms. Manolopoulos, Y.; and Faloutsos, C. Inf. Sci., 90(1-4): 75–89. 1996.
Experimenting with Pattern-Matching Algorithms [link]Paper   doi   link   bibtex  
Declustering Spatial Databases on a Multi-Computer Architecture. Koudas, N.; Faloutsos, C.; and Kamel, I. In Apers, P. M. G.; Bouzeghoub, M.; and Gardarin, G., editor(s), Advances in Database Technology - EDBT'96, 5th International Conference on Extending Database Technology, Avignon, France, March 25-29, 1996, Proceedings, volume 1057, of Lecture Notes in Computer Science, pages 592–614, 1996. Springer
Declustering Spatial Databases on a Multi-Computer Architecture [link]Paper   doi   link   bibtex  
Analysis of n-Dimensional Quadtrees using the Hausdorff Fractal Dimension. Faloutsos, C.; and Gaede, V. In Vijayaraman, T. M.; Buchmann, A. P.; Mohan, C.; and Sarda, N. L., editor(s), VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India, pages 40–50, 1996. Morgan Kaufmann
Analysis of n-Dimensional Quadtrees using the Hausdorff Fractal Dimension [pdf]Paper   link   bibtex  
Fast Nearest Neighbor Search in Medical Image Databases. Korn, F.; Sidiropoulos, N. D.; Faloutsos, C.; Siegel, E. L.; and Protopapas, Z. In Vijayaraman, T. M.; Buchmann, A. P.; Mohan, C.; and Sarda, N. L., editor(s), VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India, pages 215–226, 1996. Morgan Kaufmann
Fast Nearest Neighbor Search in Medical Image Databases [pdf]Paper   link   bibtex  
Modeling Skewed Distribution Using Multifractals and the '80-20' Law. Faloutsos, C.; Matias, Y.; and Silberschatz, A. In Vijayaraman, T. M.; Buchmann, A. P.; Mohan, C.; and Sarda, N. L., editor(s), VLDB'96, Proceedings of 22th International Conference on Very Large Data Bases, September 3-6, 1996, Mumbai (Bombay), India, pages 307–317, 1996. Morgan Kaufmann
Modeling Skewed Distribution Using Multifractals and the '80-20' Law [pdf]Paper   link   bibtex  
Design and Implementation of QBISM, a 3D Medical Image Database System. Arya, M.; Cody, W. F.; Faloutsos, C.; Richardson, J. E.; and Toya, A. In Subrahmanian, V. S.; and Jajodia, S., editor(s), Multimedia Database System: Issues and Research Direction, pages 79–100. Springer, 1996.
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  1995 (6)
Fast Searching by Content in Multimedia Databases. Faloutsos, C. IEEE Data Eng. Bull., 18(4): 31–40. 1995.
Fast Searching by Content in Multimedia Databases [pdf]Paper   link   bibtex  
Flexible and Adaptable Buffer Management Techniques for Database Management Systems. Faloutsos, C.; Ng, R. T.; and Sellis, T. K. IEEE Trans. Computers, 44(4): 546–560. 1995.
Flexible and Adaptable Buffer Management Techniques for Database Management Systems [link]Paper   doi   link   bibtex  
FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets. Faloutsos, C.; and Lin, K. In Carey, M. J.; and Schneider, D. A., editor(s), Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, San Jose, California, USA, May 22-25, 1995, pages 163–174, 1995. ACM Press
FastMap: A Fast Algorithm for Indexing, Data-Mining and Visualization of Traditional and Multimedia Datasets [link]Paper   doi   link   bibtex  
Indexing Multimedia Databases (Tutorial). Faloutsos, C. In Carey, M. J.; and Schneider, D. A., editor(s), Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, San Jose, California, USA, May 22-25, 1995, pages 467, 1995. ACM Press
Indexing Multimedia Databases (Tutorial) [link]Paper   doi   link   bibtex  
Access Methods for Bi-Temporal Databases. Kumar, A.; Tsotras, V. J.; and Faloutsos, C. In Clifford, J.; and Tuzhilin, A., editor(s), Recent Advances in Temporal Databases, Proceedings of the International Workshop on Temporal Databases, Zürich, Switzerland, 17-18 September 1995, of Workshops in Computing, pages 235–254, 1995. Springer
Access Methods for Bi-Temporal Databases [link]Paper   doi   link   bibtex  
Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension. Belussi, A.; and Faloutsos, C. In Dayal, U.; Gray, P. M. D.; and Nishio, S., editor(s), VLDB'95, Proceedings of 21th International Conference on Very Large Data Bases, September 11-15, 1995, Zurich, Switzerland, pages 299–310, 1995. Morgan Kaufmann
Estimating the Selectivity of Spatial Queries Using the 'Correlation' Fractal Dimension [pdf]Paper   link   bibtex  
  1994 (8)
Efficient and Effective Querying by Image Content. Faloutsos, C.; Barber, R.; Flickner, M.; Hafner, J.; Niblack, W.; Petkovic, D.; and Equitz, W. J. Intell. Inf. Syst., 3(3/4): 231–262. 1994.
Efficient and Effective Querying by Image Content [link]Paper   doi   link   bibtex  
The TV-Tree: An Index Structure for High-Dimensional Data. Lin, K.; Jagadish, H. V.; and Faloutsos, C. VLDB J., 3(4): 517–542. 1994.
The TV-Tree: An Index Structure for High-Dimensional Data [pdf]Paper   link   bibtex  
Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture. Panagopoulos, G.; and Faloutsos, C. In Jarke, M.; Jr., J. A. B.; and Jeffery, K. G., editor(s), Advances in Database Technology - EDBT'94. 4th International Conference on Extending Database Technology, Cambridge, United Kingdom, March 28-31, 1994, Proceedings, volume 779, of Lecture Notes in Computer Science, pages 379–392, 1994. Springer
Bit-Sliced Signature Files for Very Large Text Databases an a Parallel Machine Architecture [link]Paper   doi   link   bibtex  
QBISM: Extending a DBMS to Support 3D Medical Images. Arya, M.; Cody, W. F.; Faloutsos, C.; Richardson, J. E.; and Toya, A. In Proceedings of the Tenth International Conference on Data Engineering, February 14-18, 1994, Houston, Texas, USA, pages 314–325, 1994. IEEE Computer Society
QBISM: Extending a DBMS to Support 3D Medical Images [link]Paper   doi   link   bibtex  
Beyond Uniformity and Independence: Analysis of R-trees Using the Concept of Fractal Dimension. Faloutsos, C.; and Kamel, I. In Vianu, V., editor(s), Proceedings of the Thirteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, May 24-26, 1994, Minneapolis, Minnesota, USA, pages 4–13, 1994. ACM Press
Beyond Uniformity and Independence: Analysis of R-trees Using the Concept of Fractal Dimension [link]Paper   doi   link   bibtex  
Fast Subsequence Matching in Time-Series Databases. Faloutsos, C.; Ranganathan, M.; and Manolopoulos, Y. In Snodgrass, R. T.; and Winslett, M., editor(s), Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, Minneapolis, Minnesota, USA, May 24-27, 1994, pages 419–429, 1994. ACM Press
Fast Subsequence Matching in Time-Series Databases [link]Paper   doi   link   bibtex  
Quest: A Project on Database Mining. Agrawal, R.; Carey, M. J.; Faloutsos, C.; Ghosh, S. P.; Houtsma, M. A. W.; Imielinski, T.; Iyer, B. R.; Mahboob, A.; Miranda, H.; Srikant, R.; and Swami, A. N. In Snodgrass, R. T.; and Winslett, M., editor(s), Proceedings of the 1994 ACM SIGMOD International Conference on Management of Data, Minneapolis, Minnesota, USA, May 24-27, 1994, pages 514, 1994. ACM Press
Quest: A Project on Database Mining [link]Paper   doi   link   bibtex  
Hilbert R-tree: An Improved R-tree using Fractals. Kamel, I.; and Faloutsos, C. In Bocca, J. B.; Jarke, M.; and Zaniolo, C., editor(s), VLDB'94, Proceedings of 20th International Conference on Very Large Data Bases, September 12-15, 1994, Santiago de Chile, Chile, pages 500–509, 1994. Morgan Kaufmann
Hilbert R-tree: An Improved R-tree using Fractals [pdf]Paper   link   bibtex  
  1993 (6)
QBISM: A Prototype 3-D Medical Image Database System. Arya, M.; Cody, W. F.; Faloutsos, C.; Richardson, J. E.; and Toya, A. IEEE Data Eng. Bull., 16(1): 38–42. 1993.
QBISM: A Prototype 3-D Medical Image Database System [pdf]Paper   link   bibtex  
High Performance R-trees. Faloutsos, C.; and Kamel, I. IEEE Data Eng. Bull., 16(3): 28–33. 1993.
High Performance R-trees [pdf]Paper   link   bibtex  
On Packing R-trees. Kamel, I.; and Faloutsos, C. In Bhargava, B. K.; Finin, T. W.; and Yesha, Y., editor(s), CIKM 93, Proceedings of the Second International Conference on Information and Knowledge Management, Washington, DC, USA, November 1-5, 1993, pages 490–499, 1993. ACM
On Packing R-trees [link]Paper   doi   link   bibtex  
Efficient Similarity Search In Sequence Databases. Agrawal, R.; Faloutsos, C.; and Swami, A. N. In Lomet, D. B., editor(s), Foundations of Data Organization and Algorithms, 4th International Conference, FODO'93, Chicago, Illinois, USA, October 13-15, 1993, Proceedings, volume 730, of Lecture Notes in Computer Science, pages 69–84, 1993. Springer
Efficient Similarity Search In Sequence Databases [link]Paper   doi   link   bibtex  
Declustering Using Fractals. Faloutsos, C.; and Bhagwat, P. In Proceedings of the 2nd International Conference on Parallel and Distributed Information Systems (PDIS 1993), Issues, Architectures, and Algorithms, San Diego, CA, USA, January 20-23, 1993, pages 18–25, 1993. IEEE Computer Society
Declustering Using Fractals [link]Paper   doi   link   bibtex  
The QBIC Project: Querying Images by Content, Using Color, Texture, and Shape. Niblack, W.; Barber, R.; Equitz, W.; Flickner, M.; Glasman, E. H.; Petkovic, D.; Yanker, P.; Faloutsos, C.; and Taubin, G. In Niblack, C. W., editor(s), Storage and Retrieval for Image and Video Databases, San Jose, CA, USA, January 31 - February 5, 1993, volume 1908, of SPIE Proceedings, pages 173–187, 1993. SPIE
The QBIC Project: Querying Images by Content, Using Color, Texture, and Shape [link]Paper   doi   link   bibtex  
  1992 (6)
Analytical results on the quadtree decomposition of arbitrary rectangles. Faloutsos, C. Pattern Recognit. Lett., 13(1): 31–40. 1992.
Analytical results on the quadtree decomposition of arbitrary rectangles [link]Paper   doi   link   bibtex  
Frame-Sliced Signature Files. Lin, Z.; and Faloutsos, C. IEEE Trans. Knowl. Data Eng., 4(3): 281–289. 1992.
Frame-Sliced Signature Files [link]Paper   doi   link   bibtex  
Hybrid Index Organizations for Text Databases. Faloutsos, C.; and Jagadish, H. V. In Pirotte, A.; Delobel, C.; and Gottlob, G., editor(s), Advances in Database Technology - EDBT'92, 3rd International Conference on Extending Database Technology, Vienna, Austria, March 23-27, 1992, Proceedings, volume 580, of Lecture Notes in Computer Science, pages 310–327, 1992. Springer
Hybrid Index Organizations for Text Databases [link]Paper   doi   link   bibtex  
Parallel R-trees. Kamel, I.; and Faloutsos, C. In Stonebraker, M., editor(s), Proceedings of the 1992 ACM SIGMOD International Conference on Management of Data, San Diego, California, USA, June 2-5, 1992, pages 195–204, 1992. ACM Press
Parallel R-trees [link]Paper   doi   link   bibtex  
On B-Tree Indices for Skewed Distributions. Faloutsos, C.; and Jagadish, H. V. In Yuan, L., editor(s), 18th International Conference on Very Large Data Bases, August 23-27, 1992, Vancouver, Canada, Proceedings, pages 363–374, 1992. Morgan Kaufmann
On B-Tree Indices for Skewed Distributions [pdf]Paper   link   bibtex  
Signature Files. Faloutsos, C. In Frakes, W. B.; and Baeza-Yates, R. A., editor(s), Information Retrieval: Data Structures & Algorithms, pages 44–65. Prentice-Hall, 1992.
link   bibtex  
  1991 (5)
Disk Allocation Methods Using Error Correcting Codes. Faloutsos, C.; and Metaxas, D. N. IEEE Trans. Computers, 40(8): 907–914. 1991.
Disk Allocation Methods Using Error Correcting Codes [link]Paper   doi   link   bibtex  
An Architecture for High Performance Engineering Information Systems. Roussopoulos, N.; Mark, L.; Sellis, T. K.; and Faloutsos, C. IEEE Trans. Software Eng., 17(1): 22–33. 1991.
An Architecture for High Performance Engineering Information Systems [link]Paper   doi   link   bibtex  
DOT: A Spatial Access Method Using Fractals. Faloutsos, C.; and Rong, Y. In Proceedings of the Seventh International Conference on Data Engineering, April 8-12, 1991, Kobe, Japan, pages 152–159, 1991. IEEE Computer Society
DOT: A Spatial Access Method Using Fractals [pdf]Paper   link   bibtex  
Flexible Buffer Allocation Based on Marginal Gains. Ng, R. T.; Faloutsos, C.; and Sellis, T. K. In Clifford, J.; and King, R., editor(s), Proceedings of the 1991 ACM SIGMOD International Conference on Management of Data, Denver, Colorado, USA, May 29-31, 1991, pages 387–396, 1991. ACM Press
Flexible Buffer Allocation Based on Marginal Gains [link]Paper   doi   link   bibtex  
Predictive Load Control for Flexible Buffer Allocation. Faloutsos, C.; Ng, R. T.; and Sellis, T. K. In Lohman, G. M.; Sernadas, A.; and Camps, R., editor(s), 17th International Conference on Very Large Data Bases, September 3-6, 1991, Barcelona, Catalonia, Spain, Proceedings, pages 265–274, 1991. Morgan Kaufmann
Predictive Load Control for Flexible Buffer Allocation [pdf]Paper   link   bibtex  
  1990 (3)
Analysis for the End of Block Wasted Space. Manolopoulos, Y.; and Faloutsos, C. BIT, 30(4): 620–630. 1990.
Analysis for the End of Block Wasted Space [link]Paper   doi   link   bibtex  
Signature-Based Text Retrieval Methods: A Survey. Faloutsos, C. IEEE Data Eng. Bull., 13(1): 25–32. 1990.
Signature-Based Text Retrieval Methods: A Survey [pdf]Paper   link   bibtex  
Incorporating String Search in a Hypertext System: User Interface and Signature File Design Issues. Faloutsos, C.; Lee, R. Y. N.; Plaisant, C.; and Shneiderman, B. Hypermedia, 2(3): 183–200. 1990.
Incorporating String Search in a Hypertext System: User Interface and Signature File Design Issues [link]Paper   doi   link   bibtex  
  1989 (4)
Performance Issues in the Binary Relationship Model. Lin, C.; Mark, L.; Sellis, T. K.; and Faloutsos, C. Data Knowl. Eng., 4: 195–221. 1989.
Performance Issues in the Binary Relationship Model [link]Paper   doi   link   bibtex  
Tri-cell-a data structure for spatial objects. Faloutsos, C.; and Rego, W. Inf. Syst., 14(2): 131–139. 1989.
Tri-cell-a data structure for spatial objects [link]Paper   doi   link   bibtex  
Fractals for Secondary Key Retrieval. Faloutsos, C.; and Roseman, S. In Silberschatz, A., editor(s), Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, March 29-31, 1989, Philadelphia, Pennsylvania, USA, pages 247–252, 1989. ACM Press
Fractals for Secondary Key Retrieval [link]Paper   doi   link   bibtex  
Declustering Using Error Correcting Codes. Faloutsos, C.; and Metaxas, D. N. In Silberschatz, A., editor(s), Proceedings of the Eighth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, March 29-31, 1989, Philadelphia, Pennsylvania, USA, pages 253–258, 1989. ACM Press
Declustering Using Error Correcting Codes [link]Paper   doi   link   bibtex  
  1988 (5)
Signature Files: An Integrated Access Method for Text and Attributes, Sluitable for Optical Disk Storage. Faloutsos, C. BIT, 28(4): 736–754. 1988.
Signature Files: An Integrated Access Method for Text and Attributes, Sluitable for Optical Disk Storage [link]Paper   doi   link   bibtex  
Expert Database Systems: Efficient Support for Engineering Environments. Sellis, T. K.; Roussopoulos, N.; Mark, L.; and Faloutsos, C. Data Knowl. Eng., 3: 71–85. 1988.
Expert Database Systems: Efficient Support for Engineering Environments [link]Paper   doi   link   bibtex  
An Efficient Pictorial Database System for PSQL. Roussopoulos, N.; Faloutsos, C.; and Sellis, T. K. IEEE Trans. Software Eng., 14(5): 639–650. 1988.
An Efficient Pictorial Database System for PSQL [link]Paper   doi   link   bibtex  
Gray Codes for Partial Match and Range Queries. Faloutsos, C. IEEE Trans. Software Eng., 14(10): 1381–1393. 1988.
Gray Codes for Partial Match and Range Queries [link]Paper   doi   link   bibtex  
Fast Text Access Methods for Optical and Large Magnetic Disks: Designs and Performance Comparison. Faloutsos, C.; and Chan, R. In Bancilhon, F.; and DeWitt, D. J., editor(s), Fourteenth International Conference on Very Large Data Bases, August 29 - September 1, 1988, Los Angeles, California, USA, Proceedings, pages 280–293, 1988. Morgan Kaufmann
Fast Text Access Methods for Optical and Large Magnetic Disks: Designs and Performance Comparison [pdf]Paper   link   bibtex  
  1987 (5)
Signature files: an access method for textual messages. Faloutsos, C. Ph.D. Thesis, University of Toronto, Canada, 1987.
Signature files: an access method for textual messages [link]Paper   link   bibtex  
Optimal Signature Extraction and Information Loss. Faloutsos, C.; and Christodoulakis, S. ACM Trans. Database Syst., 12(3): 395–428. 1987.
Optimal Signature Extraction and Information Loss [link]Paper   doi   link   bibtex  
Description and Performance Analysis of Signature File Methods for Office Filing. Faloutsos, C.; and Christodoulakis, S. ACM Trans. Inf. Syst., 5(3): 237–257. 1987.
Description and Performance Analysis of Signature File Methods for Office Filing [link]Paper   doi   link   bibtex  
Analysis of Object Oriented Spatial Access Methods. Faloutsos, C.; Sellis, T. K.; and Roussopoulos, N. In Dayal, U.; and Traiger, I. L., editor(s), Proceedings of the Association for Computing Machinery Special Interest Group on Management of Data 1987 Annual Conference, San Francisco, CA, USA, May 27-29, 1987, pages 426–439, 1987. ACM Press
Analysis of Object Oriented Spatial Access Methods [link]Paper   doi   link   bibtex  
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects. Sellis, T. K.; Roussopoulos, N.; and Faloutsos, C. In Stocker, P. M.; Kent, W.; and Hammersley, P., editor(s), VLDB'87, Proceedings of 13th International Conference on Very Large Data Bases, September 1-4, 1987, Brighton, England, pages 507–518, 1987. Morgan Kaufmann
The R+-Tree: A Dynamic Index for Multi-Dimensional Objects [pdf]Paper   link   bibtex  
  1986 (2)
Design and Performance Considerations for an Optical Disk-Based Multimedia Object Server. Christodoulakis, S.; and Faloutsos, C. Computer, 19(12): 45–56. 1986.
Design and Performance Considerations for an Optical Disk-Based Multimedia Object Server [link]Paper   doi   link   bibtex  
Multiattribute Hashing Using Gray Codes. Faloutsos, C. In Zaniolo, C., editor(s), Proceedings of the 1986 ACM SIGMOD International Conference on Management of Data, Washington, DC, USA, May 28-30, 1986, pages 227–238, 1986. ACM Press
Multiattribute Hashing Using Gray Codes [link]Paper   doi   link   bibtex  
  1985 (3)
Access Methods for Text. Faloutsos, C. ACM Comput. Surv., 17(1): 49–74. 1985.
Access Methods for Text [link]Paper   doi   link   bibtex  
Signature files: Design and Performance Comparison of Some Signature Extraction Methods. Faloutsos, C. In Navathe, S. B., editor(s), Proceedings of the 1985 ACM SIGMOD International Conference on Management of Data, Austin, Texas, USA, May 28-31, 1985, pages 63–82, 1985. ACM Press
Signature files: Design and Performance Comparison of Some Signature Extraction Methods [link]Paper   doi   link   bibtex  
Design of a Signature File Method that Accounts for Non-Uniform Occurrence and Query Frequencies. Faloutsos, C.; and Christodoulakis, S. In Pirotte, A.; and Vassiliou, Y., editor(s), VLDB'85, Proceedings of 11th International Conference on Very Large Data Bases, August 21-23, 1985, Stockholm, Sweden, pages 165–170, 1985. Morgan Kaufmann
Design of a Signature File Method that Accounts for Non-Uniform Occurrence and Query Frequencies [pdf]Paper   link   bibtex  
  1984 (2)
Signature Files: An Access Method for Documents and Its Analytical Performance Evaluation. Faloutsos, C.; and Christodoulakis, S. ACM Trans. Inf. Syst., 2(4): 267–288. 1984.
Signature Files: An Access Method for Documents and Its Analytical Performance Evaluation [link]Paper   doi   link   bibtex  
Design Considerations for a Message File Server. Christodoulakis, S.; and Faloutsos, C. IEEE Trans. Software Eng., 10(2): 201–210. 1984.
Design Considerations for a Message File Server [link]Paper   doi   link   bibtex  
  1983 (1)
A Multimedia Office Filing System. Tsichritzis, D.; Christodoulakis, S.; Economopoulos, P.; Faloutsos, C.; Lee, A.; Lee, D.; Vandenbroeck, J.; and Woo, C. C. In Schkolnick, M.; and Thanos, C., editor(s), 9th International Conference on Very Large Data Bases, October 31 - November 2, 1983, Florence, Italy, Proceedings, pages 2–7, 1983. Morgan Kaufmann
A Multimedia Office Filing System [pdf]Paper   link   bibtex  
  1982 (1)
Performance Considerations in Message Files. Christodoulakis, S.; and Faloutsos, C. In Boksenbaum, M.; Dodson, G. W.; Moran, T.; Smith, C. U.; and Artis, H. P., editor(s), Eigth International Computer Measurement Group Conference, San Diego, CA, USA, December 13-17, 1982, Proceedings, pages 262–268, 1982. Computer Measurement Group
Performance Considerations in Message Files [pdf]Paper   link   bibtex