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Reseach Article

Identification of Multidimensional Relationship among Item Sets using Association Rules

by Mamta, Shwetank Arya, R. P. Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 9
Year of Publication: 2012
Authors: Mamta, Shwetank Arya, R. P. Agarwal
10.5120/7220-0040

Mamta, Shwetank Arya, R. P. Agarwal . Identification of Multidimensional Relationship among Item Sets using Association Rules. International Journal of Computer Applications. 47, 9 ( June 2012), 35-39. DOI=10.5120/7220-0040

@article{ 10.5120/7220-0040,
author = { Mamta, Shwetank Arya, R. P. Agarwal },
title = { Identification of Multidimensional Relationship among Item Sets using Association Rules },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 9 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number9/7220-0040/ },
doi = { 10.5120/7220-0040 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:28.548098+05:30
%A Mamta
%A Shwetank Arya
%A R. P. Agarwal
%T Identification of Multidimensional Relationship among Item Sets using Association Rules
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 9
%P 35-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent days, there is more interest in discovering multi dimensional relationship among item sets rather than frequent pattern sets for applications in specific domains viz. identification of irregularities in stock marketing, assessing the causes in certain diseases, identifying irregularities in farming system etc. This paper focuses on the mining of multi dimensional relationship among various item sets. An efficient algorithm to identify multi dimensional relationship in Inter Disciplined Independent Variables (IDIV) and dependent variable has been proposed. The effectiveness of the algorithm has been assessed on real world data set related to socio-economic conditions of farming system.

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Index Terms

Computer Science
Information Sciences

Keywords

Multidimensional Relationship Association Rule Support Confidence