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Computational Intelligence and Feature Selection Rough and Fuzzy Approachestqw_darksiderg

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INFO
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Title................: Computational Intelligence and Feature Selection
Type.................: Ebook
Reader...............: PDF Reader
Size.................: 5.26 MB
Torrent Hash.........: 4922D59AF5FF045A640F7CDD9E7EE9695A8FA546
Posted by............: ~tqw~

Trackers:
hxxp://tracker.bitreactor.to:2710/announce
hxxp://tracker.thepiratebay.org:80/announce

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CONTENTS
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http://images.barnesandnoble.com/images/28770000/28778944.jpg
Synopsis:
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.

Table Of Contents:
PREFACE
1 THE IMPORTANCE OF FEATURE SELECTION.
2 SET THEORY.
3 CLASSIFICATION METHODS.
4 DIMENSIONALITY REDUCTION.
5 ROUGH SET BASED APPROACHES TO FEATURE SELECTION.
6 APPLICATIONS I: USE OF RSAR.
7 ROUGH AND FUZZY HYBRIDIZATION.
8 FUZZY-ROUGH FEATURE SELECTION.
9 NEW DEVELOPMENTS OF FRFS.
10 FURTHER ADVANCED FS METHODS.
11 APPLICATIONS II: WEB CONTENT CATEGORIZATION.
12 APPLICATIONS III: COMPLEX SYSTEMS MONITORING.
13 APPLICATIONS IV: ALGAE POPULATION ESTIMATION.
14 APPLICATIONS V: FORENSIC GLASS ANALYSIS.
15 SUPPLEMENTARY DEVELOPMENTS AND INVESTIGATIONS.
APPENDIX A: METRIC COMPARISON RESULTS: CLASSIFICATION DATASETS.
APPENDIX B: METRIC COMPARISON RESULTS: REGRESSION DATASETS.
REFERENCES.
INDEX.

Product Details:
* ISBN: 0470229756
* ISBN-13: 9780470229750
* Format: Hardcover, 300pp
* Publisher: WILEY
* Pub. Date: October 2008

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Greetz Fellow UL'ers
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