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Reseach Article

A Recent Overview: Rare Association Rule Mining

by Urvi Y Bhatt, Pratik A. Patel
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 18
Year of Publication: 2014
Authors: Urvi Y Bhatt, Pratik A. Patel
10.5120/18848-9893

Urvi Y Bhatt, Pratik A. Patel . A Recent Overview: Rare Association Rule Mining. International Journal of Computer Applications. 107, 18 ( December 2014), 1-4. DOI=10.5120/18848-9893

@article{ 10.5120/18848-9893,
author = { Urvi Y Bhatt, Pratik A. Patel },
title = { A Recent Overview: Rare Association Rule Mining },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 18 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number18/18848-9893/ },
doi = { 10.5120/18848-9893 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:41:22.592435+05:30
%A Urvi Y Bhatt
%A Pratik A. Patel
%T A Recent Overview: Rare Association Rule Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 18
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Rare association rules are mine useful information form large dataset. Traditional association mining methods generate frequent rules based on frequent itemsets with reference of minimum support and minimum confidence threshold which specified by user. It called as support-confidence framework. As many of generated rules are of no use, further analysis is essential to find interesting Rules. A rule that contains rare items can consider as rare association rule. Rare Association Rules Represent unpredictable or unknown association, so it is more interesting than frequent association rule. Rare association rule mining provides relationship between items which occurs uncommonly. This paper presents brief survey in the area of rare association rule mining.

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Index Terms

Computer Science
Information Sciences

Keywords

Frequent pattern support confidence Rare Items