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Chapter 1. Introduction
Chapter 2. Data
Chapter 3. Exploring Data
Chapter 4. Classification: Basic Concepts, Decision Trees, and Model Evaluation
Chapter 5. Classification: Alternative Techniques
Chapter 6. Association Analysis: Basic Concepts and Algorithms
Chapter 7. Association Analysis: Advanced Concepts
Chapter 8. Cluster Analysis: Basic Concepts and Algorithms
Chapter 9. Cluster Analysis: Additional Issues and Algorithms
Chapter 10. Anomaly Detection
Appendix