Feature selection for data and pattern recognition: An introduction

Urszula Stańczyk; Lakhmi C. Jain

doi:10.1007/978-3-662-45620-0_1

Feature selection for data and pattern recognition: An introduction

Urszula Stańczyk
, Lakhmi C. Jain

Department of Graphics, Computer Vision and Digital Systems (RAU/RAU6)

University of Canberra

Research output: Contribution to journal › Article › peer-review

38 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 language	English
Pages (from-to)	1-7
Number of pages	7
Journal	Studies in Computational Intelligence
Volume	584
DOIs	https://doi.org/10.1007/978-3-662-45620-0_1
Publication status	Published - 2015

Keywords

Data mining
Feature
Feature selection
Pattern recognition

ASJC Scopus subject areas

Artificial Intelligence

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10.1007/978-3-662-45620-0_1

Cite this

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KW - Feature

KW - Feature selection

KW - Pattern recognition

UR - https://www.scopus.com/pages/publications/84921712130

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ER -

Feature selection for data and pattern recognition: An introduction

Abstract

Keywords

ASJC Scopus subject areas

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