Feature Selection for Data and Pattern Recognition: An Introduction

Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 584)

Abstract

Surrounded by data and information in various forms we need to characterise and describe objects of our universe using some attributes of nominal or numerical type. Selection of features can be performed basing on domain knowledge, executed through dedicated approaches, driven by some particular inherent properties of methodologies and techniques employed, or governed by other factors or rules. This chapter presents a general and brief introduction to topics of feature selection for data and pattern recognition. Its main aim is to provide short descriptions of the chapters included in this volume.

Keywords

Feature Feature selection Pattern recognition Data mining 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Institute of InformaticsSilesian University of TechnologyGliwicePoland
  2. 2.Faculty of Education, Science, Technology and MathematicsUniversity of CanberraCanberraAustralia

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