Carnegie Mellon University
15-826 Multimedia Databases and Data Mining
Spring 2017 - C. Faloutsos
PROJECT INFORMATION - All
There are three graded parts to the project:
All projects will be done in groups of two.
- Phase 1: the project proposal (10%),
- Phase 2: the progress report (10%) and
- 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,
- 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.
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