Overview
- Provides a new grade methodology for intelligent data analysis
- The only book presently available covering both the theory and application of grade data analysis
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 151)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors.
Editors and Affiliations
Bibliographic Information
Book Title: Grade Models and Methods for Data Analysis
Book Subtitle: With Applications for the Analysis of Data Populations
Editors: Teresa Kowalczyk, Elżbieta Pleszczyńska, Frederick Ruland
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-39928-5
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-21120-4Published: 16 April 2004
Softcover ISBN: 978-3-642-53561-1Published: 20 July 2012
eBook ISBN: 978-3-540-39928-5Published: 06 December 2012
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: X, 477
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Statistical Theory and Methods