關鍵字查詢 | 類別:會議論文 | | 關鍵字:Mining Fuzzy Coherent Rules from Quantitative Transactions Without Minimum Support Threshold

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序號 學年期 教師動態
1 100/2 資工系 陳俊豪 教授 會議論文 發佈 Mining Fuzzy Coherent Rules from Quantitative Transactions Without Minimum Support Threshold , [100-2] :Mining Fuzzy Coherent Rules from Quantitative Transactions Without Minimum Support Threshold會議論文Mining Fuzzy Coherent Rules from Quantitative Transactions Without Minimum Support ThresholdChne, Chun-hao; Li, Ai-fang; Lee, Yeong-chyi; Hong, Tzung-pei淡江大學資訊工程學系data mining; fuzzy association rules; fuzzy coherent rules; fuzzy set; membership functionIEEEFuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on, pp.1779-1783Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from the give quantitative transactions. However, some comment problems of those approaches are that (1) a minimum support should be predefined, and it is hard to set the appropriate one, and (2) the derived rules usually expose common-sense knowledge which may not be interested in business point of view. In this paper, we thus proposed an algorithm for mining fuzzy coherent rules to overcome those problems with the properties of propositio
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