Research Article
Methods for Mining Cross Level Association Rule In Taxonomy Data Structures
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 7 - Issue 3 |
| Published: September 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 },
year = { 2010 },
volume = { 7 },
number = { 3 },
pages = { 28-35 },
doi = { 10.5120/1144-1497 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%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%T
%J International Journal of Computer Applications
%V 7
%N 3
%P 28-35
%R 10.5120/1144-1497
%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.
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