2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA) 2015
DOI: 10.1109/aiccsa.2015.7507164
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A classification rules mining method based on dynamic rules' frequency

Abstract: Abstract-Rule based classification or rule induction (RI) in data mining is an approach that normally generates classifiers containing simple yet effective rules. Most RI algorithms suffer from few drawbacks mainly related to rule pruning and rules sharing training data instances. In response to the above two issues, a new dynamic rule induction (DRI) method is proposed that utilises two thresholds to minimise the items search space. Whenever a rule is generated, DRI algorithm ensures that all candidate items'… Show more

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Cited by 2 publications
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