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 act...

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Bibliographic Details
Other Authors: Stańczyk, Urszula (Editor), Jain, Lakhmi C. (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2015, 2015
Edition:1st ed. 2015
Series:Studies in Computational Intelligence
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Feature Selection for Data and Pattern Recogniton: an Introduction
  • Part I Estimation of Feature Importance
  • Part II Rough Set Approach to Attribute Reduction
  • Part III Rule Discovery and Evaluation
  • Part IV Data- and Domain-oriented Methodologies