Jensen / Shen Computational Intelligence and Feature Selection

Rough and Fuzzy Approaches
1. Auflage 2008
ISBN: 978-0-470-37791-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 356 Seiten, E-Book

Reihe: IEEE Press Series on Computational Intelligence

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.

Autoren/Hrsg.

Jensen, Richard

Shen, Qiang

Über Autor(innen)

Richard Jensen, PhD, is a Lecturer with the Department ofComputer Science at Aberystwyth University, United Kingdom. Dr.Jensen has published extensively in the subject area of FeatureSelection. Additionally, he has taught master's courses inengineering knowledge-based systems and served as supervisor formany student projects on Feature Selection, fuzzy-rough systemsmodeling, and swarm intelligence at both the University ofEdinburgh, Scotland, and the University of Wales.
Qiang Shen, PhD, is Professor and Director of Researchwith the Department of Computer Science at Aberystwyth University,and an Honorary Fellow at the University of Edinburgh. Dr. Shen'sresearch interests include artificial and computationalintelligence. He is an associate editor and editorial board memberof several world-leading journals and has been a chair or cochairof many national and international conferences in his researcharea.