Chapter 1. Introduction
Chapter 2. Data Warehouse and OLAP Technology for Data Mining
Chapter 3. Data Preparation
Chapter 4. Data Mining Primitives, Languages, and System Architectures
Chapter 5. Concept Description: Characterization and Comparison
Chapter 6. Mining Association Rules in Large Databases (compressed)
Chapter 7. Classification and Prediction
Chapter 8. Cluster Analysis
Chapter 9. Mining Complex Types of Data
Chapter 10. Data Mining Applications and Trends in Data Mining
Appendix A. An Introduction to Microsoft's OLE DB for Data Mining
Appendix B. An Introduction to DBMiner
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