摘要
针对目前很少有一整套能同时处理量化属性和分类属性字段的多维关联规则的解决方法,对将单维关联规则的Aprior算法改进为量化属性的静态离散化多维关联规则的算法进行了研究,并以实例阐述了该算法在电子商店中的应用,分析了其商业价值。
According to not a full suit of solution about how to deal with quantitative and classification attribute altogether, in the article, an algorithm about improving single-dimensional association rules into multidimensional association rules of static quantitative attribute is studied. And an experimentation of the application in electronic shopping was expounded. As well as its commercial value was discussed.
出处
《重庆工商大学学报（自然科学版）》
2005年第4期339-342,389,共5页
Journal of Chongqing Technology and Business University:Natural Science Edition
关键词
电子商店
数据挖掘
算法
多维关联规则
electronic shopping
data mining
algorithm
Multidimensional Association Rules
