Improved Apriori Algorithm Based on Weighted Mining Association Rules

被引：0
|
作者：
Zhao, Yuanyuan [1 ]
Jiang, He [1 ]
Sun, Baoyou [1 ]
Dong, Xiangjun [1 ]
机构：
[1] Shandong Inst Light Ind, Sch Informat Sci & Technol, Jinan 250353, Peoples R China
来源：
DCABES 2008 PROCEEDINGS, VOLS I AND II | 2008年
关键词：
Association Rule; Weight; Frequent Itemset; Algorithm Apriori; W_Apriori;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses algorithms based on the Algorithm Apriori and discovers their existing questions. An improved weighted association rules (Algorithm W_Apriori) is proposed that makes the variations at the prune step of generating frequent items and generating association rule. As a result, more frequent items are discovered and the time of generating association rule is reduced. Experiments demonstrate the algorithm is feasible and efficient.
引用
收藏
页码：433 / 436
页数：4
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