Data Mining and Knowledge Discovery with Evolutionary Algorithms

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	Data Mining and Knowledge Discovery with Evolutionary Algorithms
	by Alex A. Freitas Sales Rank: 1502168	$68.03 At Amazon on 11-13-2008.

*Features* Cover Type: Hard Cover with 279 pages Published by: Springer Edition: 1st Edition October 3, 2002 Written in: English ISBN 10 Number: 3540433317 ISBN 13 Number: 978-3540433316 Book Dimensions: 9.4 x 6 x 0.8 inches Weighs: 15.2 ounces *Product Review* From the reviews: "In the snappily-titled Data Mining and Knowledge Discovery with Evolutionary Algorithms, leading researcher Alex A Freitas introduces both data mining and evolutionary algorithms. … The aim is to introduce and address the key challenges to a high level of detail. With an understanding gleaned from this book, and source code available freely on the web, the world of data mining is your oyster." (Application Development Advisor, January/February, 2003) *Product Description* This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an area of active research.In general, data mining consists of extracting knowledge from data. In this book we particularly emphasize the importance of discovering comprehensible, interesting knowledge, which is potentially useful for the reader for intelligent decision making.In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. Back To Top
Data Mining and Knowledge Discovery with Evolutionary Algorithms ~~List Price: $84.95~~ Available from Amazon Price: $68.03 Updated on 11-13-2008.

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