会议专题

THE MEASURES AND MINING METHOD OF CREDIBLE ASSOCIATION RULE

Credible association rule(CAR) is a new type of association pattern in which items are highly affiliated with each other. The presence of an item in one transaction strongly implies the presence of every other item in the same CAR. And a maximal CAR is a CAR whose each superset isnt a CAR, so the maximal CAR specifies a more compact representation of a group of CARs. In this paper, we introduce some measures for CAR which all represent the affinity of the items in a CAR. A mining method based on maximal clique is also presented to mine all of the maximal CARs. The experimental results demonstrate that the mining method is more effective than the other stand mining methods for association rules.

credible association rule(CAR) data mining mazimal clique measure

Bo Xiao Qianfang Xu Zhiqing Lin Jun Guo

Beijing University of Posts and Telecommunications, Beijing

国际会议

2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

北京

英文

322-325

2009-11-06(万方平台首次上网日期,不代表论文的发表时间)