Carnegie Mellon University
15-826 Multimedia Databases and Data Mining
  Spring 2017 - 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 dense sub-tensor mining. This project is well defined, focusing mainly on implementation, and it will strengthen marketable skills: graph mining, social networks, anomaly detection.
  
• • Project description
  • Project grading scheme (detailed).
• 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: Jan. 24, 2017, by Christos Faloutsos