Partial Rule Match for filtering Rules in Associative Classification

نویسندگان

  • Mohammed Hayel Refai
  • Yuhanis Yusof
چکیده

In this study, we propose a new method to enhance the accuracy of Modified Multi-class Classification based on Association Rule (MMCAR) classifier. We introduce a Partial Rule Match Filtering (PRMF) method that allows a minimal match of the items in the rule’s body in order for the rule to be added into a classifier. Experiments on Reuters-21578 data sets are performed in order to evaluate the effectiveness of PRMF in MMCAR. Results show that the MMCAR classifier performs better as compared to the chosen competitors.

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عنوان ژورنال:
  • JCS

دوره 10  شماره 

صفحات  -

تاریخ انتشار 2014