Partial Rule Match for Filtering Rules in Associative Classification

Provided by: Science Productions
Topic: Big Data
Format: PDF
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.

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