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N/A - Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence) - 9783662456194 - V9783662456194
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Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence)

€ 229.04
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Description for Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence) Hardcover. Feature Selection for Data and Pattern Recognition Editor(s): Stanczyk, Urszula; Jain, Prof. Lakhmi C. Series: Studies in Computational Intelligence. Num Pages: 355 pages, 54 black & white illustrations, 20 colour illustrations, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 22. Weight in Grams: 725.

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 ... Read more

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Product Details

Format
Hardback
Publication date
2014
Publisher
Springer
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
355
Place of Publication
Berlin, Germany
ISBN
9783662456194
SKU
V9783662456194
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence)
“The content of the book is outstanding from the point of view of the novelty of the exposed methods, the clarity of the discourse, and the variety of the illustrative examples. … The book is aimed at researchers and practitioners in the domains of machine learning, computer science, data mining, statistical pattern recognition, and bioinformatics.” (L. State, Computing Reviews, June, ... Read more

Goodreads reviews for Feature Selection for Data and Pattern Recognition (Studies in Computational Intelligence)


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