Editors:
- The book integrates data mining, rough sets and granular computing
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 95)
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Table of contents (26 chapters)
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Front Matter
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Granular Computing — A New Paradigm
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Front Matter
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Granular Computing in Data Mining
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Front Matter
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Data Mining
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Front Matter
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Granular Computing
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Front Matter
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About this book
Editors and Affiliations
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Department of Mathematics and Computer Science, San Jose State University The Metropolitan University of Silicon Valley, San Jose, USA
Tsau Young Lin
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Department of Computer Science, University of Regina, Regina, Canada
Yiyu Y. Yao
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Computer Science Division and Electronics Research Laboratory Department of Electrical and Electronics, University of California Berkeley Initiative in Soft Computing (BISC), Berkeley, USA
Lotfi A. Zadeh
Bibliographic Information
Book Title: Data Mining, Rough Sets and Granular Computing
Editors: Tsau Young Lin, Yiyu Y. Yao, Lotfi A. Zadeh
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-7908-1791-1
Publisher: Physica Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Hardcover ISBN: 978-3-7908-1461-3Published: 10 April 2002
Softcover ISBN: 978-3-7908-2508-4Published: 21 October 2010
eBook ISBN: 978-3-7908-1791-1Published: 11 November 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: IX, 537