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Efficiently Mining Frequent Itemsets using Various Approaches: A Survey
by
C. A. Dhote,
Sheetal Rathi
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 55 - Number 7 |
| Year of Publication: 2012 |
| Authors: C. A. Dhote, Sheetal Rathi |
10.5120/8767-2691
|
C. A. Dhote, Sheetal Rathi . Efficiently Mining Frequent Itemsets using Various Approaches: A Survey. International Journal of Computer Applications. 55, 7 ( October 2012), 28-32. DOI=10.5120/8767-2691
@article{
10.5120/8767-2691,
author = {
C. A. Dhote,
Sheetal Rathi
},
title = { Efficiently Mining Frequent Itemsets using Various Approaches: A Survey },
journal = {
International Journal of Computer Applications
},
issue_date = { October 2012 },
volume = { 55 },
number = { 7 },
month = { October },
year = { 2012 },
issn = { 0975-8887 },
pages = {
28-32
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume55/number7/8767-2691/
},
doi = { 10.5120/8767-2691 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:56:39.191280+05:30
%A C. A. Dhote
%A Sheetal Rathi
%T Efficiently Mining Frequent Itemsets using Various Approaches: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 55
%N 7
%P 28-32
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper we present the various elementary traversal approaches for mining association rules. We start with a formal definition of association rule and its basic algorithm. We then discuss the association rule mining algorithms from several perspectives such as breadth first approach, depth first approach and Hybrid approach. Comparison of the various approaches is done in terms of time complexity and I/O overhead on CPU. Finally, this paper prospects the association rule mining and discuss the areas where there is scope for scalability.
References
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Index Terms
Computer Science
Information Sciences
Keywords