Computational Intelligence and Feature Selection / IEEE Press Series on Computational Intelligence (PDF)
Rough and Fuzzy Approaches
(Sprache: Englisch)
The rough and fuzzy set approaches presented here open up many
new frontiers for continued research and development
Computational Intelligence and Feature Selection provides
readers with the background and fundamental ideas behind Feature
Selection...
new frontiers for continued research and development
Computational Intelligence and Feature Selection provides
readers with the background and fundamental ideas behind Feature
Selection...
sofort als Download lieferbar
eBook (pdf)
138.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Computational Intelligence and Feature Selection / IEEE Press Series on Computational Intelligence (PDF)“
The rough and fuzzy set approaches presented here open up many
new frontiers for continued research and development
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.
new frontiers for continued research and development
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.
Autoren-Porträt von Richard Jensen, Qiang Shen
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 Feature
Selection. Additionally, he has taught master's courses in
engineering knowledge-based systems and served as supervisor for
many student projects on Feature Selection, fuzzy-rough systems
modeling, and swarm intelligence at both the University of
Edinburgh, Scotland, and the University of Wales.
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.
Bibliographische Angaben
- Autoren: Richard Jensen , Qiang Shen
- 2008, 1. Auflage, 356 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470377917
- ISBN-13: 9780470377918
- Erscheinungsdatum: 08.10.2008
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 5.08 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Computational Intelligence and Feature Selection / IEEE Press Series on Computational Intelligence"
0 Gebrauchte Artikel zu „Computational Intelligence and Feature Selection / IEEE Press Series on Computational Intelligence“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Computational Intelligence and Feature Selection / IEEE Press Series on Computational Intelligence".
Kommentar verfassen