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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 458)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.
Authors and Affiliations
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University of Toledo, Toledo, USA
Krzysztof J. Cios
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University of Manitoba, Winnipeg, Canada
Witold Pedrycz
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San Diego State University, San Diego, USA
Roman W. Swiniarski
Bibliographic Information
Book Title: Data Mining Methods for Knowledge Discovery
Authors: Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-5589-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-7923-8252-2Published: 31 August 1998
Softcover ISBN: 978-1-4613-7557-9Published: 26 October 2012
eBook ISBN: 978-1-4615-5589-6Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XXI, 495
Topics: Data Structures and Information Theory, Information Storage and Retrieval, Artificial Intelligence, IT in Business