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Combining the Attribute Oriented Induction and Graph Visualization to Enhancement Association Rules Interpretation | ||
| Iraqi Journal for Computers and Informatics ijci | ||
| Article 1, Volume 42, Issue 1, 2016, Pages 10-22 | ||
| Authors | ||
| Safaa O. Al-Mamory; Zahraa Najim Abdullah | ||
| 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. | ||
| Keywords | ||
| Data Mining; Association rules; visualization; AOI | ||
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