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PARTIAL RULE MATCH FOR FILTERING RULES IN ASSOCIATIVE CLASSIFICATION | Science Publications

机译:关联分类中过滤规则的部分规则匹配|科学出版物

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> 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.
机译: >在本研究中,我们提出了一种新的方法来提高基于关联规则(MMCAR)分类器的改进的多类分类的准确性。我们引入了部分规则匹配过滤(PRMF)方法,该方法允许对规则主体中的项目进行最小匹配,以便将规则添加到分类器中。为了评估PRMF在MMCAR中的有效性,对Reuters-21578数据集进行了实验。结果表明,与所选竞争对手相比,MMCAR分类器的性能更好。

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