Further remarks on Quantitative Association Rules Mining
نویسندگان
چکیده
Efficient algorithms for discovering association rules from binary data already exist. However, most of real world databases are not boolean. The problem of expanding these algorithms to handle variety types of data such as quantitative data has been attracted the attention of many researchers. In this paper we provide a comparison of existing algorithms for generating association rules from quantitative data. According to this comparison, the algorithm based on fuzzy concepts seems to be the best of them.
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تاریخ انتشار 2004