I. Course information

II. Class Presentations 

• Reading List  (to be decided)
• Paper Presentation Schedule (to be decided)

III. Project Information

• Project Topics and Guidelines
• Project Presentation Schedule  (to be decided)

       Some old project proposals/reports can be found on old class web sites.

IV. Tools, Datasets and Resources

• Information Retrieval (Online book by van Rijsbergen)
• Kernel Machines Tutorial
• Kerenl Method in Text
• SIGIR
• TREC
• IR resources (from Galsgow IR Group
• Information Retrieval Links
• Information Filtering Resources
• Center for Networked Information Discovery and Retrieval
• Center for Intelligent Information Retrieval (CIIR)

V. Related Courses and Lectures

1. CS 395T Large Scale Data Mining (Fall 2001)
2. EE 380L Data Mining (Fall 2002 and earlier)
3. CS 391L Machine Learning (Fall 2002)
4. Data Mining course at Stanford
5. Text Data Mining course at Berkeley
6. Slides from Prabahakar Raghavan's Talk on Social Networks
7. Slides from Prabahakar Raghavan's Talk on Web Graphs