Feature Selection for Data and Pattern Recognition
Language: English
Published by Springer-Verlag New York Inc, 2015
Series: Book 105 of 538 - Studies in Computational Intelligence
- Hardcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 321.34
Quantity: 2 available
Add to basketItem description from seller
2015 edition. 355 pages. 9.50x6.50x0.75 inches. In Stock.
Seller Inventory # x-3662456192
- Title
- Feature Selection for Data and Pattern Recognition
- Author
- Stanczyk, Urszula (Editor)/ Jain, Lakhmi C. (Editor)
- Publisher
- Springer-Verlag New York Inc
- Publication year
- 2015
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3662456192
- ISBN 13
- 9783662456194
- Item weight
- 1.04 kilograms
- Series
- Book 105 of 538: Studies in Computational Intelligence
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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