Transcription of Data Mining Concepts and Techniques (3rd ed.)
{{id}} {{{paragraph}}}
Example: dental hygienist
Data Mining Concepts and Techniques (3rd ed.)
Table of Contents Cover Image Front Matter Copyright Dedication Foreword Foreword to Second Edition Preface Acknowledgments About the Authors 1. Introduction Why Data Mining ? What Is Data Mining ? What Kinds of Data Can Be Mined? What Kinds of Patterns Can Be Mined? Which Technologies Are Used? Which Kinds of applications Are Targeted? Major Issues in Data Mining Summary Exercises Bibliographic Notes 2. Getting to Know Your Data Data Objects and Attribute Types Basic Statistical Descriptions of Data Data Visualization Measuring Data Similarity and Dissimilarity Summary Exercises Bibliographic Notes 3. Data Preprocessing Data Preprocessing: An Overview Data Cleaning Data Integration Data Reduction Data Transformation and Data Discretization Summary Exercises Bibliographic Notes 4.
Data Mining Trends and Research Frontiers 13.1. Mining Complex Data Types 13.2. Other Methodologies of Data Mining. 13.3. Data Mining Applications 13.4. Data Mining and Society 13.5. Data Mining Trends 13.6. Summary 13.7. Exercises 13.8. Bibliographic Notes ... Data Mining: Concepts and Techniques, 3rd Edition Jiawei Han, Micheline Kamber, Jian ...
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: