Combining the Attribute Oriented Induction and Graph Visualization to Enhancement Association Rules Interpretation
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Published:2016-12-31
Issue:1
Volume:42
Page:10-22
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ISSN:2520-4912
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Container-title:Iraqi Journal for Computers and Informatics
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language:
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Short-container-title:ijci
Author:
Al-Mamory Safaa,Abdullah Zahraa
Abstract
The important methods of data mining is large and from these methods is mining of association rule. The miningof association rule gives huge number of the rules. These huge rules make analyst consuming more time when searchingthrough the large rules for finding the interesting rules. One of the solutions for this problem is combing between one of theAssociation rules visualization method and generalization method. Association rules visualization method is graph-basedmethod. Generalization method is Attribute Oriented Induction algorithm (AOI). AOI after combing calls ModifiedAOI because it removes and changes in the steps of the traditional AOI. The graph technique after combing also callsgrouped graph method because it displays the aggregated that results rules from AOI. The results of this paper are ratio ofcompression that gives clarity of visualization. These results provide the ability for test and drill down in the rules orunderstand and roll up.
Publisher
University of Information Technology and Communications
Cited by
1 articles.
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