Data Mining: Concepts and Techniques by Kamber

Jiawei Han and Micheline Kamber

Data Mining: Concepts and Techniques, 2^nd ed.

The Morgan Kaufmann Series in Data Management Systems, Jim Gray, Series Editor
Morgan Kaufmann Publishers, March 2006. ISBN 1-55860-901-6 

Slides in PowerPoint form
Chapter 1. Introduction
Chapter 2. Data Preprocessing
Chapter 3. Data Warehouse and OLAP Technology: An Overview
Chapter 4. Data Cube Computation and Data Generalization
Chapter 5. Mining Frequent Patterns, Associations and Correlations
Chapter 6. Classification and Prediction
Chapter 7. Cluster Analysis
Chapter 8. Mining Stream, Time-Series and Sequence Data

Section 8.1. Mining Data Streams

Section 8.2. Mining Time-Series Data

Section 8.3. Mining Sequence Patterns in Transactional Databases

Section 8.4. Mining Sequence Patterns in Biological Databases

Chapter 9. Graph Mining, Social Network Analysis and Multi-Relational Data Mining

Section 9.1. Graph Mining

Section 9.2. Social Network Analysis

Section 9.3. Multirelational Data Mining

Chapter 10. Mining Object, Spatial, Multimedia, Text and Web Data

Section 10.1. Mining Object, Spatial and Multimedia Data

Section 10.1. Mining Text and Web Data

Chapter 11. Applications and Trends in Data Mining  

Additional theme: Visual Data Mining

Additional theme: Software Bug Mining

Additional theme: RFID Data Warehousing and High-Performance Data Mining

Additional theme: Intrusion Detection and Data Mining

Additional theme: Collaborative Filtering and Data Mining



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