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Advances in Feature Selection for Data and Pattern Recognition: An Introduction

  • Urszula Stańczyk
  • Beata Zielosko
  • Lakhmi C. Jain
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 138)

Abstract

Technological progress of the ever evolving world is connected with the need of developing methods for extracting knowledge from available data, distinguishing variables that are relevant from irrelevant, and reduction of dimensionality by selection of the most informative and important descriptors. As a result, the field of feature selection for data and pattern recognition is studied with such unceasing intensity by researchers, that it is not possible to present all facets of their investigations. The aim of this chapter is to provide a brief overview of some recent advances in the domain, presented as chapters included in this monograph.

Keywords

Feature selection Pattern recognition Data mining 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Urszula Stańczyk
    • 1
  • Beata Zielosko
    • 2
  • Lakhmi C. Jain
    • 3
  1. 1.Institute of InformaticsSilesian University of TechnologyGliwicePoland
  2. 2.Institute of Computer ScienceUniversity of Silesia in KatowiceSosnowiecPoland
  3. 3.University of CanberraCanberraAustralia

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