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Data MiningConcepts and Techniques.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data Mining
其他題名:	Concepts and Techniques.
作者:	Han, Jiawei.
其他作者:	Kamber, Micheline.
出版者:	Burlington :Elsevier Science,2011.
面頁冊數:	1 online resource (744 p.)
標題:	Data mining.
電子資源:	http://www.sciencedirect.com/science/book/9780123814791
ISBN:	9780123814807 (electronic bk.)

Data MiningConcepts and Techniques.
Han, Jiawei.

Data MiningConcepts and Techniques.[electronic resource] : - 3rd ed. - Burlington :Elsevier Science,2011. - 1 online resource (744 p.)

Front Cover; Data Mining: Concepts and Techniques; Copyright; Dedication; Table of Contents; Foreword; Foreword to Second Edition; Preface; Acknowledgments; About the Authors; Chapter 1. Introduction; Chapter 2. Getting to Know Your Data; Chapter 3. Data Preprocessing; Chapter 4. Data Warehousing and Online Analytical Processing; Chapter 5. Data Cube Technology; Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods; Chapter 7. Advanced Pattern Mining; Chapter 8. Classification: Basic Concepts; Chapter 9. Classification: Advanced Methods.

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understandin.

ISBN: 9780123814807 (electronic bk.)Subjects--Topical Terms:

184440
Data mining.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA76.9.D343H36 2011eb

Dewey Class. No.: 006.3/12

Data MiningConcepts and Techniques.
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505 0 $a Front Cover; Data Mining: Concepts and Techniques; Copyright; Dedication; Table of Contents; Foreword; Foreword to Second Edition; Preface; Acknowledgments; About the Authors; Chapter 1. Introduction; Chapter 2. Getting to Know Your Data; Chapter 3. Data Preprocessing; Chapter 4. Data Warehousing and Online Analytical Processing; Chapter 5. Data Cube Technology; Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods; Chapter 7. Advanced Pattern Mining; Chapter 8. Classification: Basic Concepts; Chapter 9. Classification: Advanced Methods.
505 8 $a Chapter 10. Cluster Analysis: Basic Concepts and MethodsChapter 11. Advanced Cluster Analysis; Chapter 12. Outlier Detection; Chapter 13. Data Mining Trends and Research Frontiers; Bibliography; Index.
520 $a The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Although advances in data mining technology have made extensive data collection much easier, it's still always evolving and there is a constant need for new techniques and tools that can help us transform this data into useful information and knowledge. Since the previous edition's publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understandin.
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