Partial Rule Match for Filtering Rules in Associative Classification

In this paper, the authors propose a new method to enhance the accuracy of Modified Multi-class Classification based on Association Rule (MMCAR) classifier. They 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.