Approaches of discriminant analysis for data mining and management

V. Pemajayantha; V. Pemajayantha; Robert Mellor; M. Shelton Peiris; Jay R. Rajasekera

Approaches of discriminant analysis for data mining and management

V. Pemajayantha, V. Pemajayantha, Robert Mellor, M. Shelton Peiris, Jay R. Rajasekera

Research output: Chapter in Book / Conference Paper › Conference Paper

Abstract

Discriminant analysis, a classical statistical technique largely used for biological studies of plants and animal populations, has a high potential for applications in management and modeling multivariate systems because it reduces large multivariate systems to its natural subpopulations or cohorts. A collection of classical approaches in discriminant analysis in univariate and multivariate contexts is reviewed here together with a new development for straightforward applications.

Original language	English
Title of host publication	Current Research in Modelling, Data Mining & Quantitative Techniques
Publisher	University of Western Sydney
Number of pages	17
ISBN (Electronic)	0975159909
ISBN (Print)	9780975159903
Publication status	Published - 2003
Event	Workshop on Advanced Research Methods - Duration: 1 Jan 2003 → …

Conference

Conference	Workshop on Advanced Research Methods
Period	1/01/03 → …

Keywords

discriminant analysis
data processing
multivariate analysis
data mining
classification
analysis of variance

Cite this

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title = "Approaches of discriminant analysis for data mining and management",

abstract = "Discriminant analysis, a classical statistical technique largely used for biological studies of plants and animal populations, has a high potential for applications in management and modeling multivariate systems because it reduces large multivariate systems to its natural subpopulations or cohorts. A collection of classical approaches in discriminant analysis in univariate and multivariate contexts is reviewed here together with a new development for straightforward applications.",

keywords = "discriminant analysis, data processing, multivariate analysis, data mining, classification, analysis of variance",

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year = "2003",

language = "English",

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publisher = "University of Western Sydney",

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AU - Pemajayantha, V.

AU - Mellor, Robert

AU - Peiris, M. Shelton

AU - Rajasekera, Jay R.

PY - 2003

Y1 - 2003

N2 - Discriminant analysis, a classical statistical technique largely used for biological studies of plants and animal populations, has a high potential for applications in management and modeling multivariate systems because it reduces large multivariate systems to its natural subpopulations or cohorts. A collection of classical approaches in discriminant analysis in univariate and multivariate contexts is reviewed here together with a new development for straightforward applications.

AB - Discriminant analysis, a classical statistical technique largely used for biological studies of plants and animal populations, has a high potential for applications in management and modeling multivariate systems because it reduces large multivariate systems to its natural subpopulations or cohorts. A collection of classical approaches in discriminant analysis in univariate and multivariate contexts is reviewed here together with a new development for straightforward applications.

KW - discriminant analysis

KW - data processing

KW - multivariate analysis

KW - data mining

KW - classification

KW - analysis of variance

UR - http://handle.uws.edu.au:8081/1959.7/489325

M3 - Conference Paper

SN - 9780975159903

BT - Current Research in Modelling, Data Mining & Quantitative Techniques

PB - University of Western Sydney

T2 - Workshop on Advanced Research Methods

Y2 - 1 January 2003

ER -

Approaches of discriminant analysis for data mining and management

Abstract

Conference

Keywords

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