Research Article Open Access

PARTIAL RULE MATCH FOR FILTERING RULES IN ASSOCIATIVE CLASSIFICATION

Mohamed Hayel Refai1 and Yuhanis Yusof1
  • 1 Universiti Utara Malaysia, Malaysia
Journal of Computer Science
Volume 10 No. 4, 2014, 570-577

DOI: https://doi.org/10.3844/jcssp.2014.570.577

Submitted On: 21 August 2013 Published On: 9 December 2013

How to Cite: Refai, M. H. & Yusof, Y. (2014). PARTIAL RULE MATCH FOR FILTERING RULES IN ASSOCIATIVE CLASSIFICATION. Journal of Computer Science, 10(4), 570-577. https://doi.org/10.3844/jcssp.2014.570.577

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.

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Keywords

  • Modified Multi-Class Classification Based on Association Rule
  • Associative Classification
  • Text Mining