Authors:
- Provides suite of exercises
- Includes links to instructional presentations
- Contains appendices of relevant mathematical material
- Includes supplementary material: sn.pub/extras
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Table of contents (16 chapters)
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Front Matter
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Data Mining and Knowledge Discovery Process
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Front Matter
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Data Understanding
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Front Matter
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Data Preprocessing
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Front Matter
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Data Mining: Methods for Constructing Data Models
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Front Matter
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Data Models Assessment
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Front Matter
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About this book
Reviews
Authors and Affiliations
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Computer Science Dept, Virginia Commonwealth University, Richmond
Krzysztof J. Cios
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University of Colorado, USA
Krzysztof J. Cios
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Computer Science Dept, San Diego State University & Polish Academy of Sciences, San Diego, USA
Roman W. Swiniarski
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Electrical and Computer Engineering Dept, University of Alberta, Edmonton, Canada
Witold Pedrycz, Lukasz A. Kurgan
Bibliographic Information
Book Title: Data Mining
Book Subtitle: A Knowledge Discovery Approach
Authors: Krzysztof J. Cios, Roman W. Swiniarski, Witold Pedrycz, Lukasz A. Kurgan
DOI: https://doi.org/10.1007/978-0-387-36795-8
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-33333-5Published: 25 September 2007
Softcover ISBN: 978-1-4419-4120-6Published: 29 October 2010
eBook ISBN: 978-0-387-36795-8Published: 05 October 2007
Edition Number: 1
Number of Pages: XV, 606
Topics: Database Management, Artificial Intelligence, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Pattern Recognition