Multidimensional Association Rules Algorithm Research and System Actualization
Fang Wangsheng Zheng Jian Shao Liping (College of Information Engineering,Jiangxi University of Science and Technology, Ganzhou 341000)
According to there still isn't a full suit of resolvent about how to deal with quantitative and categorical attribute altogether,this paper indicates a method which can deal with the data from the source to visualize the Association Rules. It first adopts the method of equi-depth discretization to deal with quantitative attribute field by the max support. For obtaining frequent itemset through ameliorating the traditional Apriori dimension algorithm, thus we realize its use on the Multidimensional Rules. At last we use the method of column graph to visualize the Association Rules.
【CateGory Index】： TP311.13