| Week | Date | Lecture |
|---|
| Week 1: | March 10: | Introduction to Data
Mining |
| Week 2: | March 17: | Association
Rules |
| Week 3: | March 24: | Association Rules
(advanced topics) |
| Week 4: | March 31: | Sequential Pattern
Analysis |
| Week 5: | April 7: | Classification (Neural
Networks & Bayesian) |
| Week 6: | April 14: | Classification (Decision
Trees, kNN, Associative) |
| Week 7: | April 21: | Midterm |
| Week 8: | April 28: | Contrast sets |
| Week 8: | April 28: | Assignment 1 is due |
| Week 9: | May 5: | No class (Public Holiday
. Children's Day) |
| Week 10: | May 12: | Assignment 2 is due |
| Week 10: | May 12: | Data Clustering (Intro + partitioning) |
| Week 11: | May 19: | Data Clustering (Different approaches) |
| Week 12: | May 26: | Outlier detection |
| Week 13: | June 2: | Web Mining |
| Week 14: | June 9: | Final Exam |
| Week 15: | June 16: | Project Demos |
Schedule
Slides
Activities
Marks