Introduction to Data Mining

1. Introduction (lecture slides: [PPT] [PDF])
2. Data (lecture slides: [PPT][PDF]) 
3. Exploring Data (lecture slides: [PPT][PDF]) 
4. Classication: Basic Concepts, Decision Trees, and Model Evaluation (lecture slides: [ PPT][PDF]) 
5. Classication: Alternative Techniques (lecture slides: [PPT][PDF]) 
6. Association Analysis: Basic Concepts and Algorithms (lecture slides: [PPT][PDF]) 
7. Association Analysis: Advanced Concepts (lecture slides: [PPT][PDF]) 
8. Cluster Analysis: Basic Concepts and Algorithms (lecture slides: [PPT][PDF]) 
9. Cluster Analysis: Additional Issues and Algorithms (lecture slides: [PPT][PDF]) 
10. Anomaly Detection (lecture slides: [PPT][PDF])