×


 x 

Shopping cart
. Ed(S): Stanczyk, Urszula; Jain, Prof. Lakhmi C. - Feature Selection for Data and Pattern Recognition - 9783662508459 - V9783662508459
Stock image for illustration purposes only - book cover, edition or condition may vary.

Feature Selection for Data and Pattern Recognition

€ 227.69
FREE Delivery in Ireland
Description for Feature Selection for Data and Pattern Recognition Paperback. Editor(s): Stanczyk, Urszula; Jain, Prof. Lakhmi C. Series: Studies in Computational Intelligence. Num Pages: 373 pages, 54 black & white illustrations, 20 colour illustrations, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 20. Weight in Grams: 575.

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

Show Less

Product Details

Format
Paperback
Publication date
2016
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
373
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
355
Place of Publication
Berlin, Germany
ISBN
9783662508459
SKU
V9783662508459
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Feature Selection for Data and Pattern Recognition
“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


Subscribe to our newsletter

News on special offers, signed editions & more!