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.
Lakhmi C. Jain & Urszula Stanczyk
Feature Selection for Data and Pattern Recognition [PDF ebook]
Feature Selection for Data and Pattern Recognition [PDF ebook]
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Limba Engleză ● Format PDF ● ISBN 9783662456200 ● Editor Lakhmi C. Jain & Urszula Stanczyk ● Editura Springer Berlin Heidelberg ● Publicat 2014 ● Descărcabil 3 ori ● Valută EUR ● ID 6387668 ● Protecție împotriva copiilor Adobe DRM
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