DataMining–ConceptsandTechniques

Table of Contents Cover Image Front Matter Copyright Dedication Foreword Foreword to Second Edition Preface Acknowledgments About the Authors 1. Introduction 1.1. Why Data Mining? 1.2. What Is Data Mining? 1.3. What Kinds of Data Can Be Mined? 1.4. What Kinds of Patterns Can Be Mined? 1.5. Which Technologies Are Used? 1.6. Which Kinds of Applications Are Targeted? 1.7. Major Issues in Data Mining 1.8. Summary 1.9. Exercises 1.10. Bibliographic Notes 2. Getting to Know Your Data 2.1. Data Objects and Attribute Types 2.2. Basic Statistical Descriptions of Data 2.3. Data Visualization 2.4. Measuring Data Similarity and Dissimilarity 2.5. Summary 2.6. Exercises 2.7. Bibliographic Notes 3. Data Preprocessing 3.1. Data Preprocessing: An Overview 3.2. Data Cleaning 3.3. Data Integration 3.4. Data Reduction 3.5. Data Transformation and Data Discretization 3.6. Summary 3.7. Exercises 3.8. Bibliographic Notes 4. Data Warehousing and Online Analytical Processing 4.1. Data Warehouse: Basic Concepts 4.2. Data Warehouse Modeling: Data Cube and OLAP 4.3. Data Warehouse Design and Usage 4.4. Data Warehouse Implementa......