- Hardcover: 1285 pages
- Publisher: Springer; 2nd ed. edition (22 Oct 2010)
- Language English
- ISBN-10: 0387098224
- ISBN-13: 978-0387098227
- Product Dimensions: 23.6 x 16 x 5.1 cm
- Amazon Bestsellers Rank: 1,881,934 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Review
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)
Product Description
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.
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