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Feature Selection for Data and Pattern Recognition (Hardcover, 2015 ed.) Loot Price: R5,140
Discovery Miles 51 400
Feature Selection for Data and Pattern Recognition (Hardcover, 2015 ed.): Urszula Stanczyk, Lakhmi C. Jain

Feature Selection for Data and Pattern Recognition (Hardcover, 2015 ed.)

Urszula Stanczyk, Lakhmi C. Jain

Series: Studies in Computational Intelligence, 584

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Loot Price R5,140 Discovery Miles 51 400 | Repayment Terms: R482 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 584
Release date: 2015
First published: 2015
Editors: Urszula Stanczyk • Lakhmi C. Jain
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Hardcover
Pages: 355
Edition: 2015 ed.
ISBN-13: 978-3-662-45619-4
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
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LSN: 3-662-45619-2
Barcode: 9783662456194

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