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Feature Selection for Data and Pattern Recognition (Hardback)

by Urszula Sta&#324

Springer

Hardback or Cased Book 355 pages Jan 15, 2015

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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.
Author:
Urszula Stań
Publisher:
Springer
Publication Date:
Jan 15, 2015
Number of pages:
355 pages
Binding:
Hardback or Cased Book
ISBN-10:
3662456192
ISBN-13:
9783662456194