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Mining of Frequent Itemsets with an Enhanced Apriori Algorithm

by V. Vijayalakshmi, A. Pethalakshmi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 4
Year of Publication: 2013
Authors: V. Vijayalakshmi, A. Pethalakshmi
10.5120/13997-2033

V. Vijayalakshmi, A. Pethalakshmi . Mining of Frequent Itemsets with an Enhanced Apriori Algorithm. International Journal of Computer Applications. 81, 4 ( November 2013), 1-4. DOI=10.5120/13997-2033

@article{ 10.5120/13997-2033,
author = { V. Vijayalakshmi, A. Pethalakshmi },
title = { Mining of Frequent Itemsets with an Enhanced Apriori Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 4 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number4/13997-2033/ },
doi = { 10.5120/13997-2033 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:10.789947+05:30
%A V. Vijayalakshmi
%A A. Pethalakshmi
%T Mining of Frequent Itemsets with an Enhanced Apriori Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 4
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Apriori algorithm is a classical algorithm of association rule mining and widely used for mining association rule which uses frequent item. This classical algorithm is inefficient due to so many scans of database. And if the database is large, it takes too much time to scan the database. To reduce these two limitations, this paper proposes a new technique called TR-BAM for mining frequent patterns in large databases by implementing a Bit Array Matrix. The whole database is scanned only once and the data is compressed in the form of a Bit Array Matrix. The frequent patterns are then mined directly from this Matrix. Appropriate operations are designed and performed on matrices to achieve efficiency.

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Index Terms

Computer Science
Information Sciences

Keywords

Association Rule Frequent Item Set Apriori Bit Array Matrix

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