jntu Data warehouse and Data Mining – Concepts and Techniques - JIAWEI HAN & MICHELINE KAMBER Harcourt India,Data Warehouse and OLAP Technology for Data Mining,Data Mining Primitives, Languages, and System Architectures,Mining Association Rules in Large Databases (compressed),Data Mining Applications and Trends in Data Mining,Cluster Analysis

JNTU BTECH 3-2 Dataware house and data Mining – Concepts and Techniques - JIAWEI HAN & MICHELINE KAMBER

The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor
Morgan Kaufmann Publishers, August 2000. 550 pages. ISBN 1-55860-489-8

Table of Contents in PDF

Errata on the first and second printings of the book

Errata on the 3rd printing (as well as the previous ones) of the book

Art work of the book

Course slides (in PowerPoint form) (and will be updated without notice!

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