Computational Intelligence and Feature Selection
Language: English
Published by John Wiley & Sons Sep 2008, 2008
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 274.82
Quantity: 2 available
Add to basketItem description from seller
Neuware - The rough and fuzzy set approaches presented here open up many new frontiers for continued research and developmentComputational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets. For readers who are less familiar with the subject, the book begins with an introduction to fuzzy set theory and fuzzy-rough set theory. Building on this foundation, the book provides:\* A critical review of FS methods, with particular emphasis on their current limitations\* Program files implementing major algorithms, together with the necessary instructions and datasets, available on a related Web site\* Coverage of the background and fundamental ideas behind FS\* A systematic presentation of the leading methods reviewed in a consistent algorithmic framework\* Real-world applications with worked examples that illustrate the power and efficacy of the FS approaches covered\* An investigation of the associated areas of FS, including rule induction and clustering methods using hybridizations of fuzzy and rough set theoriesComputational Intelligence and Feature Selection is an ideal resource for advanced undergraduates, postgraduates, researchers, and professional engineers. However, its straightforward presentation of the underlying concepts makes the book meaningful to specialists and nonspecialists alike.…
Seller Inventory # 9780470229750
- Title
- Computational Intelligence and Feature Selection
- Author
- Richard Jensen
- Publisher
- John Wiley & Sons Sep 2008
- Publication year
- 2008
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0470229756
- ISBN 13
- 9780470229750
- Item weight
- 701 grams
- Dimensions
- 240x161x24 mm
Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets. For readers who are less familiar with the subject, the book begins with an introduction to fuzzy set theory and fuzzy-rough set theory. Building on this foundation, the book provides:
-
A critical review of FS methods, with particular emphasis on their current limitations
-
Program files implementing major algorithms, together with the necessary instructions and datasets, available on a related Web site
-
Coverage of the background and fundamental ideas behind FS
-
A systematic presentation of the leading methods reviewed in a consistent algorithmic framework
-
Real-world applications with worked examples that illustrate the power and efficacy of the FS approaches covered
-
An investigation of the associated areas of FS, including rule induction and clustering methods using hybridizations of fuzzy and rough set theories
Computational Intelligence and Feature Selection is an ideal resource for advanced undergraduates, postgraduates, researchers, and professional engineers. However, its straightforward presentation of the underlying concepts makes the book meaningful to specialists and nonspecialists alike.
"Synopsis" may belong to another edition of this title.
About the Author
Qiang Shen, PhD, is Professor and Director of Research with the Department of Computer Science at Aberystwyth University, and an Honorary Fellow at the University of Edinburgh. Dr. Shen's research interests include artificial and computational intelligence. He is an associate editor and editorial board member of several world-leading journals and has been a chair or cochair of many national and international conferences in his research area.
"About the title" may belong to another edition of this title.
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