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Feature Selection for Data and Pattern Recognition

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.

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Series Title
-
Call Number
-
Publisher
: Springer Berlin, Heidelberg.,
Collation
XVIII, 355
Language
English
ISBN/ISSN
978-3-662-45620-0
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Artificial Intelligence
Computational Intelligence
Specific Detail Info
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Statement of Responsibility
Other Information
Cataloger
agus
Source
-
Validator
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