Computational Intelligence and Feature Selection

Beschreibung

The rough and fuzzy set approaches presented here open up manynew frontiers for continued research and development Computational Intelligence and Feature Selection providesreaders with the background and fundamental ideas behind FeatureSelection (FS), with an emphasis on techniques based on rough andfuzzy sets. For readers who are less familiar with the subject, thebook begins with an introduction to fuzzy set theory andfuzzy-rough set theory. Building on this foundation, the bookprovides: * A critical review of FS methods, with particular emphasis ontheir current limitations * Program files implementing major algorithms, together with thenecessary instructions and datasets, available on a related Website * Coverage of the background and fundamental ideas behind FS * A systematic presentation of the leading methods reviewed in aconsistent algorithmic framework * Real-world applications with worked examples that illustrate thepower and efficacy of the FS approaches covered * An investigation of the associated areas of FS, including ruleinduction and clustering methods using hybridizations of fuzzy andrough set theories Computational Intelligence and Feature Selection is anideal resource for advanced undergraduates, postgraduates,researchers, and professional engineers. However, itsstraightforward presentation of the underlying concepts makes thebook meaningful to specialists and nonspecialists alike.

Autor*in

Richard Jensen

Themen in »Computational Intelligence and Feature Selection«

Data Mining Data Mining Statistics Electrical & Electronics Engineering Elektrotechnik u. Elektronik Fuzzy Systems Fuzzy-Systeme Intelligent Systems & Agents Intelligente Systeme Intelligente Systeme u. Agenten Statistics Statistik

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