Combining the Attribute Oriented Induction and Graph Visualization to Enhancement Association Rules Interpretation

Authors

  • Safaa Al-Mamory University of Information Technology and Communications (UOITC)
  • Zahraa Abdullah University of Karbala

DOI:

https://doi.org/10.25195/ijci.v42i1.79

Keywords:

Data mining, Association rules, Visualization, AOI

Abstract

The important methods of data mining is large and from these methods is mining of association rule. The mining
of association rule gives huge number of the rules. These huge rules make analyst consuming more time when searching
through the large rules for finding the interesting rules. One of the solutions for this problem is combing between one of the
Association rules visualization method and generalization method. Association rules visualization method is graph-based
method. Generalization method is Attribute Oriented Induction algorithm (AOI). AOI after combing calls Modified
AOI because it removes and changes in the steps of the traditional AOI. The graph technique after combing also calls
grouped graph method because it displays the aggregated that results rules from AOI. The results of this paper are ratio of
compression that gives clarity of visualization. These results provide the ability for test and drill down in the rules or
understand and roll up.

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Author Biographies

Safaa Al-Mamory, University of Information Technology and Communications (UOITC)

College of Business Informatics

Zahraa Abdullah, University of Karbala

Department of computer science

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Published

2016-12-31

Issue

Vol. 42 No. 1 (2016): Iraqi Journal for Computers and Informatics

Section

Articles

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