2000 DataMiningConceptsAndTechniques

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Subject Headings: Data Mining Discipline, Textbook.

Notes

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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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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2000 DataMiningConceptsAndTechniquesMicheline Kamber
Jiawei Han
Data Mining: Concepts and Techniques, 1st edhttp://www.cs.sfu.ca/~han/dmbook2000