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Post Processing of Association Rule by Pruning and Filtering using Ontology Visualization

S. Pavithra, S. Sumathi, N. Gomathi

Abstract


Data mining has attracted increasing interest in recent years. The association rule which are used in data mining are limited by the huge amount of rules, so we want to help the decision maker with an efficient post processing steps in order to reduce the no of rules. Ontology Visualization is very beneficial to support user in this task by improving the simplicity of the large rule sets and enabling the user to navigate inside them. We propose a method to answer the association rule validation problem by designing a human -centered visualization method for the rule rummaging task.

Keywords


Data Mining, Association Rules, Post Processing, Ontology, Knowledge Discovery in Database

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References


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