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Reseach Article

Article:Closed Pattern Mining from n-ary Relations

by R V Nataraj, S Selvan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 9
Year of Publication: 2010
Authors: R V Nataraj, S Selvan
10.5120/210-353

R V Nataraj, S Selvan . Article:Closed Pattern Mining from n-ary Relations. International Journal of Computer Applications. 1, 9 ( February 2010), 9-13. DOI=10.5120/210-353

@article{ 10.5120/210-353,
author = { R V Nataraj, S Selvan },
title = { Article:Closed Pattern Mining from n-ary Relations },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 9 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number9/210-353/ },
doi = { 10.5120/210-353 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:45:23.975471+05:30
%A R V Nataraj
%A S Selvan
%T Article:Closed Pattern Mining from n-ary Relations
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 9
%P 9-13
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we address the problem of closed pattern mining from n-ary relations. We propose CnS-Miner algorithm which enumerates all the closed patterns of the given n-dimensional dataset in depth first manner satisfying the user specified minimum size constraints. From the given input, the CnS-Miner algorithm generates an n-ary tree and visits the tree in depth first manner. We have proposed a generalized duplicate pruning method which prunes the subtrees that generate duplicate patterns. The space complexity of our algorithm is O(D+d) where D is the n-ary dataset and d is the depth of the tree. We have experimentally compared the proposed algorithm with DataPeeler, a recently proposed algorithm for closed pattern mining from n-ary relations.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Closed Patterns Algorithms