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Data Mining and Knowledge Discovery Handbook by Springer-Verlag New York Inc. (Hardback, 2010)

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and kwledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and vel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Place of Publication
New York, NY
Spine
51mm
Edited by
Lior Rokach, Oded Z. Maimon
Content Note
40 Black & White Illustrations, Biography
Author Biography
Prof. Oded Maimon is the Oracle chaired Professor at Tel-Aviv University, Previously at MIT. Oded is a leader expert in the field of data mining and knowledge discovery. He published many articles on new algorithms and seven significant award winning books in the field since 2000. He has also developed and implemented successful applications in the Industry. He heads an international research group sponsored by European Union awards. Dr. Lior Rokach is a senior lecturer at the Department of Information System Engineering at Ben-Gurion University. He is a recognized expert in intelligent information systems and has held several leading positions in this field. His main areas of interest are Data Mining, Pattern Recognition, and Recommender Systems. Dr. Rokach is the author of over 70 refereed papers in leading journals, conference proceedings and book chapters. In addition he has authored six books and edited three others books.
Date of Publication
01/10/2010
Edition Statement
2nd Ed. 2010
Genre
Computing: Professional & Programming
Country of Publication
United States

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