Refai, Mohamed Hayel and Yusof, Yuhanis (2014) Partial rule match for filtering rules in associative classification. Journal of Computer Science, 10 (4). pp. 570-577. ISSN 1549-3636

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Modified Multi-Class Classification Based on Association Rule, Associative Classification, Text Mining
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Dr. Yuhanis Yusof
Date Deposited:	04 Oct 2016 08:58
Last Modified:	04 Oct 2016 08:58
URI:	https://repo.uum.edu.my/id/eprint/18768

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