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A Novel Rule based Data Mining Mechanism for Identification of Mutual Relationship among Item Sets

by Mamta, R. P. Agarwal, Shwetank Arya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 3
Year of Publication: 2012
Authors: Mamta, R. P. Agarwal, Shwetank Arya
10.5120/6892-9372

Mamta, R. P. Agarwal, Shwetank Arya . A Novel Rule based Data Mining Mechanism for Identification of Mutual Relationship among Item Sets. International Journal of Computer Applications. 46, 3 ( May 2012), 42-47. DOI=10.5120/6892-9372

@article{ 10.5120/6892-9372,
author = { Mamta, R. P. Agarwal, Shwetank Arya },
title = { A Novel Rule based Data Mining Mechanism for Identification of Mutual Relationship among Item Sets },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 3 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 42-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number3/6892-9372/ },
doi = { 10.5120/6892-9372 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:50.287273+05:30
%A Mamta
%A R. P. Agarwal
%A Shwetank Arya
%T A Novel Rule based Data Mining Mechanism for Identification of Mutual Relationship among Item Sets
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 3
%P 42-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent days, there is more interest in mutually dependent 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 mutual relationship among various item sets. An efficient algorithm to identify mutual relationship in Inter Disciplined Independent Variables (IDIV) 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

Mining Mutual Relationship Rule Based Data Mining Socio-economic Conditions Idiv

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