Mining association rule efficiently based on data warehouse

被引：1
|
作者：
陈晓红
赖邦传
罗铤
机构：
[1] Changsha 410083
[2] China
[3] School of Business
[4] School of Business Central South University
来源：
Journal of Central South University of Technology(English Edition) | 2003年 / 04期
关键词：
data mining; association rule mining; complete association rule set; least association rule set;
D O I：
暂无
中图分类号：
TP311.1 [程序设计];
学科分类号：
081202 ; 0835 ;
摘要：
The conventional complete association rule set was replaced by the least association rule set in data warehouse association rule mining process. The least association rule set should comply with two requirements: 1) it should be the minimal and the simplest association rule set; 2) its predictive power should in no way be weaker than that of the complete association rule set so that the precision of the association rule set analysis can be guaranteed. By adopting the least association rule set, the pruning of weak rules can be effectively carried out so as to greatly reduce the number of frequent itemset, and therefore improve the mining efficiency. Finally, based on the classical Apriori algorithm, the upward closure property of weak rules is utilized to develop a corresponding efficient algorithm.
引用
收藏
页码：375 / 380
页数：6
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