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Methods for Mining Cross Level Association Rule In Taxonomy Data Structures

by V. Venkata Ramana, M V Rathnamma, A. Rama Mohan Reddy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 3
Year of Publication: 2010
Authors: V. Venkata Ramana, M V Rathnamma, A. Rama Mohan Reddy
10.5120/1144-1497

V. Venkata Ramana, M V Rathnamma, A. Rama Mohan Reddy . Methods for Mining Cross Level Association Rule In Taxonomy Data Structures. International Journal of Computer Applications. 7, 3 ( September 2010), 28-35. DOI=10.5120/1144-1497

@article{ 10.5120/1144-1497,
author = { V. Venkata Ramana, M V Rathnamma, A. Rama Mohan Reddy },
title = { Methods for Mining Cross Level Association Rule In Taxonomy Data Structures },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 7 },
number = { 3 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 28-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number3/1144-1497/ },
doi = { 10.5120/1144-1497 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:55:27.482356+05:30
%A V. Venkata Ramana
%A M V Rathnamma
%A A. Rama Mohan Reddy
%T Methods for Mining Cross Level Association Rule In Taxonomy Data Structures
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 3
%P 28-35
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mining of association rules mainly focuses at a single conceptual level. In a large database of transaction, where each transaction consists of a set of items, and taxonomy on items, it is required to find out the associations at multiple conceptual levels. In this paper, multilevel association rule mining algorithms have been evaluated and compared. And we will discover additional strong association rules in taxonomy data items. The performance indices used for performance comparisons are minimum support threshold at different levels and varying number of transactions.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Taxonomy Data Structur Mining Cross Level Association rules

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