Data Mining Concepts and Techniques

ISBN-10: 0123814790
ISBN-13: 9780123814791
Edition: 3rd 2011
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Book details

List price: $74.95
Edition: 3rd
Copyright year: 2011
Publisher: Elsevier Science & Technology Books
Publication date: 6/22/2011
Binding: Hardcover
Pages: 744
Size: 8.00" wide x 9.50" long x 1.75" tall
Weight: 3.124
Language: English

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.

Jian Pei is Associate Professor of Computing Science and the director of Collaborative Research and Industry Relations at the School of Computing Science at Simon Fraser University, Canada. In 2002-2004, he was an Assistant Professor of Computer Science and Engineering at the State University of New York (SUNY) at Buffalo. He received a Ph.D. degree in Computing Science from Simon Fraser University in 2002, under Dr. Jiawei Han's supervision.

Introduction
Getting to Know Your Data
Preprocessing
Data Warehousing and On-Line Analytical Processing
Data Cube Technology
Mining Frequent Patterns, Associations and Correlations: Concepts and Methods
Advanced Frequent Pattern Mining
Classification: Basic Concepts
Classification: Advanced Methods
Cluster Analysis: Basic Concepts and Methods
Advanced Cluster Analysis
Outlier Analysis
Data Mining Trends and Research Frontiers in Data Mining

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