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Data mining : concepts and techniques

Author: Jiawei Han; Micheline Kamber; Jian Pei
Publisher: Burlington : Elsevier Science, 2011.
Series: Morgan Kaufmann series in data management systems.
Edition/Format:   eBook : Document : English : 3rd edView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Han, Jiawei.
Data Mining: Concepts and Techniques.
Burlington : Elsevier Science, ©2011
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jiawei Han; Micheline Kamber; Jian Pei
ISBN: 9780123814807 0123814804 9780123814791 0123814790 9786613171177 6613171174
OCLC Number: 741491891
Description: 1 online resource (744 pages) : illustrations.
Contents: 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. 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.
Series Title: Morgan Kaufmann series in data management systems.
Responsibility: Jiawei Han, Micheline Kamber, Jian Pei.

Abstract:

Equips you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets. This title focuses on important topics in the field: data warehouses and  Read more...

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"A well-written textbook (2nd ed., 2006; 1st ed., 2001) on data mining or knowledge discovery. The text is supported by a strong outline. The authors preserve much of the introductory material, but Read more...

 
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