【摘要】 提出了一种新的基于模糊概念的量化关联规则挖掘方法。该方法利用在量化属性域上定义的一组模糊概念表示属性间的关联关系，克服了传统的离散分区法的不足，使得规则的表示自然、简明，有利于专家理解。同时，给出了挖掘算法。更多还原

【Abstract】 A novel method for mining quantitative association rules based on fuzzy concepts is proposed. It employs a set of fuzzy concepts, which are defined in quantitative attribute domains, to represent the revealed regularities among quantitative attributes and effectively overcomes the drawbacks caused by the traditional discrete interval method. Besides, an algorithm for mining quantitative association rules is presented.更多还原