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

页码：433 / 436

页数：4

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