Workshop on Link Analysis for Detecting Complex Behavior (LinkKDD2003)

August 27, 2003

To be held at KDD-2003, The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Call for papers (expired) on the following topics was open until May 30, 2003.

Workshop Papers, are available on the Web.

Topics of interest

Particular topics of interest for the workshop include but are not limited to:

• Link-Analysis/Graph Mining
• Social Network Analysis
• Web-Mining and Text-Mining in relation to Link Analysis
• Scalability of developed approaches
• Visualization of link structures
• Performance evaluation measures
• Innovative applications
• Applications related to Link Analysis.

Workshop papers

The workshop consists of invited talks, presentation of refereed papers, and discussions.
We hope that the program will stimulate future collaboration among researchers.

• A Maximum Entropy Framework for Higher Order Link Analysis on Directed Graphs, Sreangsu Acharyya, Joydeep Ghosh
• Density based approaches to network analysis: Analysis of Reuters terror news network, Vladimir Batagelj, Andrej Mrvar
• A CBR Approach to Asymmetric Plan Detection, Daniel Fu, Emilio Remolina, Jim Eilbert
• Link Analysis, Privacy Preservation, and Random Perturbations, Hillol Kargupta, Kun Liu, Souptik Datta, Jessica Ryan, Krishnamoorthy Sivakumar
• Using Generic Corpora to Learn Domain-Specific Terminology, David Vogel
• Incremental Learning for Interaction Dynamics with the Influence Model, YongHong Tian, Zheng Mei , TieJun Huang, Wen Gao
• A comparison of statistical and machine learning algorithms in the task of link completion, Anna Goldenberg, Jeremy Kubica, Paul Komarek

Attendance

Attendance is not limited to the paper authors. We strongly encourage interested researchers from related areas to attend the workshop. The workshop should be of interest to researchers and practitioners conducting research or building applications that involve various data analysis and rich data and knowledge representations, in particular, those from: Academic Data Mining (analytical aspects of dealing with link structures), Commercial Data Mining (new application areas), Social Networks Analysis (algorithmic aspects of dealing with large network structures), Relational Data Mining/Association Rules (alternative representations and dealing with the data), Natural Language Processing/Text Mining (representational aspects).

Organization

Steve Donoho
Mantas Inc, 4300 Fair Lakes Court, Fairfax, VA 22033, USA
steven_donoho@mantas.com

Tom Dybala
Mantas Inc, 4300 Fair Lakes Court, Fairfax, VA 22033, USA
tom_dybala@maantas.com

Marko Grobelnik
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Marko.Grobelnik@ijs.si

Natasa Milic-Frayling
Microsoft Research Ltd, 7 J J Thomson Avenue, Cambridge, CB3 0FB, United Kingdom
natasamf@microsoft.com

Dunja Mladenic
J.Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia
Dunja.Mladenic@ijs.si

Program Committee

• Sarab Anandjot, UK
• Janez Brank, J.Stefan Institute, Ljubljana, Slovenia
• Ronen Feldman, ClearForest, Israel
• Marko Grobelnik, J.Stefan Institute, Ljubljana, Slovenia
• David Jensen, University of Massachusetts, USA
• Christopher A. Meek, Microsoft Research, Redmond, WA, USA
• Natasa Milic-Frayling, Microsoft Research Ltd, Cambridge, UK
• Dunja Mladenic, J.Stefan Institute, Ljubljana, Slovenia
• Sean Slattery, Applied Psychology Research, London, UK

Past events

We feel that the continuity of meeting and exchanging ideas is essential for effective promotion and development of this research area.

• ICML-99 Workshop on Machine Learning in Text Data Analysis
• KDD-2000 Workshop on Text Mining
• ICDM-2001 Workshop on Text Mining
• ICML-2002 Workshop on Text Learning
• IJCAI-2003 Workshop on Text-Mining and Link-Analysis