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Reseach Article

Survey on Frequent Itemset Mining Algorithms

by Pramod S., O.P. Vyas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 15
Year of Publication: 2010
Authors: Pramod S., O.P. Vyas
10.5120/316-484

Pramod S., O.P. Vyas . Survey on Frequent Itemset Mining Algorithms. International Journal of Computer Applications. 1, 15 ( February 2010), 86-91. DOI=10.5120/316-484

@article{ 10.5120/316-484,
author = { Pramod S., O.P. Vyas },
title = { Survey on Frequent Itemset Mining Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 15 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 86-91 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number15/316-484/ },
doi = { 10.5120/316-484 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:42:32.712966+05:30
%A Pramod S.
%A O.P. Vyas
%T Survey on Frequent Itemset Mining Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 15
%P 86-91
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many researchers invented ideas to generate the frequent itemsets. The time required for generating frequent itemsets plays an important role. Some algorithms are designed, considering only the time factor. Our study includes depth analysis of algorithms and discusses some problems of generating frequent itemsets from the algorithm. We have explored the unifying feature among the internal working of various mining algorithms. Some implementations were done with KDD cup Dataset to explore the relative merits of each algorithm. The work yields a detailed analysis of the algorithms to elucidate the performance with standard dataset like Adult, Mushroom etc. The comparative study of algorithms includes aspects like different support values, size of transactions and different datasets.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Frequent Itemset Mining KDD cup Mashroom Adult