Research Project

Project specification:

• Overview: a  project that discovers or leverages interesting relationships within a significant amount of data. Best if the project leverages what we have learned in class.
• Some project ideas (these serve merely as ideas. They should by no means restrict your imagination)
  • Statistical Computing (Speed up traditional statistical methods, such as correlation computation).
  • Data Mining in Business Applications (Customer Segmentation, Accounting, Marketing)
  • Literature Survey
  • Data Mining in Spatio-temporal Data
• Deliverables:
  • Project proposal (1-2 paragraph description of your project) due on Oct 25. You should include your project title and delineate your
    1. project idea
    2. data source
    3. key algorithms/technology, and
    4. what you expect to submit at the end of the quarter.
  • Final project writeup (10 - 20 pages) due Nov 29. This is a comprehensive description of your project. You should include the following:
    1. project idea
    2. your specific implementation
    3. key results
    4. what worked, what did not work, what surprised you, and why
  • Final presentation In the last day of class, each student presents their project to the rest of the class. The presentation should  last no more than 15 minutes. 3 minutes will be allotted for questions.