Carnegie Mellon University
15-826 Multimedia Databases and Data Mining
  Fall 2019 - C. Faloutsos

PROJECT INFORMATION - All projects

1. Preliminaries

There are three graded parts to the project:

1. Phase 1: the project proposal (10%),
2. Phase 2: the progress report (10%) and
3. Phase 3: the final report (and poster, for the non-default projects) (80%).

2. Two types of projects - 'default' and 'non-default'.

• Masters students -> 'default' project. This is on anomaly detection and explanation, in graphs. This project is well defined, focusing mainly on implementation, and it will strengthen marketable skills: graph mining, social networks, anomaly detection.
  
• • Project description

  
  
• Phd students (of any department) -> You may choose. You could  do (a) the default project above, or (b)  you may pick one of the  projects in the project list below, or (c) you may propose another project, outside the list (contact instructor, as early as possible!).The non-default projects are open ended, and require more innovation - but may lead to a publication.
• • Project list (internal to CMU).
  • Project grading scheme (detailed).

3. Due Dates

• As announced in the course schedule.
• Non-default projects will also have to do a poster, to sharpen your presentation skills.

Created: Sept. 16, 2019, by Christos Faloutsos