Page 10 -

#1
2011/6/1 3:32
Page ix
HAN 03-toc-ix-xviii-9780123814791

Contents

Foreword xix

Foreword to Second Edition xxi
Preface xxiii
Acknowledgments xxxi

About the Authors xxxv

Chapter 1 Introduction 1
1.1 Why Data Mining? 1
1.1.1 Moving toward the Information Age 1
1.1.2 Data Mining as the Evolution of Information Technology 2
1.2 What Is Data Mining? 5
1.3 What Kinds of Data Can Be Mined? 8
1.3.1 Database Data 9
1.3.2 Data Warehouses 10
1.3.3 Transactional Data 13
1.3.4 Other Kinds of Data 14
1.4 What Kinds of Patterns Can Be Mined? 15
1.4.1 Class/Concept Description: Characterization and Discrimination 15
1.4.2 Mining Frequent Patterns, Associations, and Correlations 17
1.4.3 Classification and Regression for Predictive Analysis 18
1.4.4 Cluster Analysis 19
1.4.5 Outlier Analysis 20
1.4.6 Are All Patterns Interesting? 21
1.5 Which Technologies Are Used? 23
1.5.1 Statistics 23
1.5.2 Machine Learning 24
1.5.3 Database Systems and Data Warehouses 26
1.5.4 Information Retrieval 26

ix