Implementing a Rule Generation Method Based on Secondary Differences of Two Criteria

Authors:
Hidenao Abe;Shusaku Tsumoto
Affiliations:
Shimane University, Japan 6938501;Shimane University, Japan 6938501
Venue:
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Year:
2008

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Abstract

In order to obtain valuable knowledge from stored data on database systems, rule mining is considered as one of the usable mining method. However, almost current rule mining algorithms only use primary difference of a criterion to select attribute-value pairs to obtain a rule set to a given dataset. In this paper, we implemented a rule generation method based on secondary differences of two criteria. Then, we performed a case study using UCI common datasets. With regarding to the result, we compared the accuracies of rule sets learned by our algorithm with that of three representative algorithms.