Data Mining, Southeast Asia Edition
Author:   Jiawei Han (Professor, Department of Computer ScienceUniversity of Illinois, Urbana Champaign, USA) ,  Jian Pei (Simon Fraser University, Burnaby, Canada) ,  Micheline Kamber (Simon Fraser University, Burnaby, Canada)
Publisher:   Elsevier Science & Technology
Edition:   2nd edition
ISBN:  

9780123739056


Pages:   800
Publication Date:   11 June 2006
Replaced By:   9780123814791
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Mining, Southeast Asia Edition


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Author:   Jiawei Han (Professor, Department of Computer ScienceUniversity of Illinois, Urbana Champaign, USA) ,  Jian Pei (Simon Fraser University, Burnaby, Canada) ,  Micheline Kamber (Simon Fraser University, Burnaby, Canada)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Edition:   2nd edition
Weight:   1.450kg
ISBN:  

9780123739056


ISBN 10:   0123739055
Pages:   800
Publication Date:   11 June 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Replaced By:   9780123814791
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction 2. Data Preprocessing 3. Data Warehouse and OLAP Technology: An Overview 4. Data Cube Computation and Data Generalization 5. Mining Frequent Patterns, Associations, and Correlations 6. Classification and Prediction 7. Cluster Analysis 8. Mining Stream, Time-Series, and Sequence Data 9 Graph Mining, Social Network Analysis, and Multi-Relational Data Mining 10. Mining Object, Spatial, Multimedia, Text, and Web Data 11. Applications and Trends in Data Mining Appendix A: An Introduction to Microsoft's OLE DB for Data Mining

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Author Information

Jiawei Han is Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Well known for his research in the areas of data mining and database systems, he has received many awards for his contributions in the field, including the 2004 ACM SIGKDD Innovations Award. He has served as Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data, and on editorial boards of several journals, including IEEE Transactions on Knowledge and Data Engineering and Data Mining and Knowledge Discovery. Micheline Kamber is a researcher with a passion for writing in easy-to-understand terms. She has a master's degree in computer science (specializing in artificial intelligence) from Concordia University, Canada.

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