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- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
Reviews
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)
Authors and Affiliations
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Computing Laboratory, University of Kent, Canterbury, UK
Alex A. Freitas
Bibliographic Information
Book Title: Data Mining and Knowledge Discovery with Evolutionary Algorithms
Authors: Alex A. Freitas
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-662-04923-5
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Hardcover ISBN: 978-3-540-43331-6Published: 21 August 2002
Softcover ISBN: 978-3-642-07763-0Published: 14 March 2012
eBook ISBN: 978-3-662-04923-5Published: 11 November 2013
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XIV, 265
Topics: Data Structures and Information Theory, Artificial Intelligence, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Algorithm Analysis and Problem Complexity, Database Management