Feature selection for data and pattern recognition: An introduction

Urszula Stanczyk, Lakhmi JAIN

Research output: A Conference proceeding or a Chapter in BookChapter

13 Citations (Scopus)

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 ofmethodologies 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
Original languageEnglish
Title of host publicationFeature Selection for Data and Pattern Recognition
EditorsUrszula Stańczyk, Lakhmi C. Jain
Place of PublicationHeidelberg
PublisherSpringer
Chapter1
Pages1-7
Number of pages7
Volume584
Edition1
ISBN (Electronic)9783662456200
ISBN (Print)9783662456194
DOIs
Publication statusPublished - 2015

Publication series

NameStudies in Computational Intelligence
PublisherSpringer Verlag
ISSN (Print)1860-949X

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Stanczyk, U., & JAIN, L. (2015). Feature selection for data and pattern recognition: An introduction. In U. Stańczyk, & L. C. Jain (Eds.), Feature Selection for Data and Pattern Recognition (1 ed., Vol. 584, pp. 1-7). (Studies in Computational Intelligence). Heidelberg: Springer. Studies in Computational Intelligence https://doi.org/10.1007/978-3-662-45620-0_1