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Reseach Article

Frequent Pattern Mining based on Multiple Minimum Support using Uncertain Dataset

by Meenu Dave, Hitesh Maharwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 6
Year of Publication: 2014
Authors: Meenu Dave, Hitesh Maharwal
10.5120/17377-7913

Meenu Dave, Hitesh Maharwal . Frequent Pattern Mining based on Multiple Minimum Support using Uncertain Dataset. International Journal of Computer Applications. 99, 6 ( August 2014), 20-23. DOI=10.5120/17377-7913

@article{ 10.5120/17377-7913,
author = { Meenu Dave, Hitesh Maharwal },
title = { Frequent Pattern Mining based on Multiple Minimum Support using Uncertain Dataset },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 6 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number6/17377-7913/ },
doi = { 10.5120/17377-7913 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:27:29.536455+05:30
%A Meenu Dave
%A Hitesh Maharwal
%T Frequent Pattern Mining based on Multiple Minimum Support using Uncertain Dataset
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 6
%P 20-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Association rule mining plays a major role in decision making in the production and sales business area. It uses minimum support (minsup) and support confidence (supconf) as a base to generate the frequent patterns and strong association rules. Setting a single value of minsup for a transaction set doesn't seem feasible for some real life applications. Similarly the probabilistic value of items in the transaction set may be acceptable. So generating the frequent pattern from the uncertain dataset becomes a concern factor. This research work details the aforesaid problem and proposes a solution for the same.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Association Rule Mining Minimum Support (minsup) Support Confidence (supconf) Uncertain Dataset