Introduction

Potential topics will be announced here (in preparation); you are welcome to propose your own topics and recruit your team members.  Please think deeply and seriously. Team work (2-3 students) is welcome. However, each team member shall clarify his/her role in the project final report.  Each project should have one of the following goals:

1. Empirical Survey: Study existing data mining and machine learning techniques,  implement/run and compare some of them for better understanding and for possible improvement,
2. Novel Application: Build a novel application with data mining techniques applied,
3. Original Research: Propose new data mining concepts, formulations, or algorithms, aiming for publication.

Solid and original projects will be appreciated in this course.

Timeline

Proposal (April 29 2015): Build a team, select a topic, and upload two-page proposal  including problem definition, datasets, task, and working plan, etc.

Demo/Presentation (June 1/3 2015):  Present and/or demo projects in the class.

Final Report (June 7 2015): Submit a final report, clearly describe the contribution of each team member.