Overview
This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.
Full Product Details
Author: Oded Maimon ,
Lior Rokach
Publisher: Springer-Verlag New York Inc.
Imprint: Springer-Verlag New York Inc.
Edition: 2nd ed. 2010
Dimensions:
Width: 15.50cm
, Height: 5.10cm
, Length: 23.50cm
Weight: 1.724kg
ISBN: 9780387098227
ISBN 10: 0387098224
Pages: 1285
Publication Date: 01 October 2010
Audience:
Professional and scholarly
,
Professional & Vocational
Replaced By: 9783031246272
Format: Hardback
Publisher's Status: Out of Print
Availability: In Print
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.
Reviews
"From the reviews of the second edition: ""This handbook provides an excellent guide in every aspect of the discovery process. ! Contributors are drawn from noted academic institutions and companies around the world and across diverse disciplines. ! serves to define the current state of the art in knowledge discovery, and is particularly useful in cross-fertilization among a diverse set of application scenarios. It is an indispensable reference for researchers and an excellent starting point for advanced students taking graduate courses in this area. Summing Up: Highly recommended. Upper-division undergraduates through professionals/practitioners."" (J. Y. Cheung, Choice, Vol. 48 (10), June, 2011)"
From the reviews of the second edition: This handbook provides an excellent guide in every aspect of the discovery process. ... Contributors are drawn from noted academic institutions and companies around the world and across diverse disciplines. ... serves to define the current state of the art in knowledge discovery, and is particularly useful in cross-fertilization among a diverse set of application scenarios. It is an indispensable reference for researchers and an excellent starting point for advanced students taking graduate courses in this area. Summing Up: Highly recommended. Upper-division undergraduates through professionals/practitioners. (J. Y. Cheung, Choice, Vol. 48 (10), June, 2011)
From the reviews of the second edition: This handbook provides an excellent guide in every aspect of the discovery process. ! Contributors are drawn from noted academic institutions and companies around the world and across diverse disciplines. ! serves to define the current state of the art in knowledge discovery, and is particularly useful in cross-fertilization among a diverse set of application scenarios. It is an indispensable reference for researchers and an excellent starting point for advanced students taking graduate courses in this area. Summing Up: Highly recommended. Upper-division undergraduates through professionals/practitioners. (J. Y. Cheung, Choice, Vol. 48 (10), June, 2011)
Aus den Rezensionen: ! ein breites inhaltliches Spektrum der ! Konzepte und Anwendungen des Data Mining und Knowledge Discovery in Data Bases ! Trotz ! der thematischen Breite gelingt es den Herausgebern durch ein didaktisch schlussiges Konzept, grundlegende und weiterfuhrende Sachverhalte des Data Mining und des KDD strukturiert und nachvollziehbar zu vermitteln. ! Als hilfreich fur die Orientierung erweist sich der umfangreiche Index. ! Das Buch kann daher jedem, der sich erstmals oder vertiefend mit dem Data Mining und dem KDD in seiner gesamten Breite beschaftigen mochte, empfohlen werden ! (Matthias Meyer, in: OR News, 2007, Issue 31, S. 28)
Author Information
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.
