Data Mining Han And Kamber Solution Pdf
• Dedication • Foreword • Foreword to Second Edition • Preface • Organization of the Book • To the Instructor • To the Student • To the Professional • Book Web Sites with Resources • Acknowledgments • Third Edition of the Book • Second Edition of the Book • First Edition of the Book • About the Authors • 1. Introduction • Publisher Summary • 1.1 Why Data Mining? • 1. Cadillacs And Dinosaurs Rom Mame Chd. 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 • Publisher Summary • 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. Dolog Akf Software S. 7 Bibliographic Notes • 3. Data Preprocessing • Publisher Summary • 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.