Feature Selection for Data and Pattern Recognition

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181,89 

Studies in Computational Intelligence 584

ISBN: 3662456192
ISBN 13: 9783662456194
Herausgeber: Urszula Stanczyk/Lakhmi C Jain
Verlag: Springer Verlag GmbH
Umfang: xviii, 355 S., 54 s/w Illustr., 20 farbige Illustr., 355 p. 74 illus., 20 illus. in color.
Erscheinungsdatum: 15.01.2015
Auflage: 1/2015
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 7414247 Kategorie:

Beschreibung

This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.

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