410444D Elective-I: Data Mining Techniques and Applications (DMTA) Study material

* DMTA

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1. Introduction (lecture slides: [PPT] [PDF])

2. Data (lecture slides: [PPT][PDF]) 

3. Exploring Data (lecture slides: [PPT][PDF]) 

4. Classification: Basic Concepts, Decision Trees, and Model Evaluation (lecture slides: [ PPT][PDF]) 

5. Classification: 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])

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