Research and Application of Improved Apriori Algorithm to Electronic Commerce

被引：4
|
作者：
Yang, Shuo [1 ]
机构：
[1] Dalian Jiaotong Univ, Coll Comp Sci & Technol, Dalian, Peoples R China
来源：
2012 11TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING & SCIENCE (DCABES) | 2012年
关键词：
electronic commerce; association rule; apriori algorithm; frequent itemset;
D O I：
10.1109/DCABES.2012.51
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to analyze the shopping habits of consumers and more accurately mine the characteristics of consumption, we hereby have proposed and proved Theorem 1-3 to improve the classical Apriori algorithm, resulting in the reduction of database access. We improved the efficiency in the frequent-itemsets-based establishment of strong association rule. With this new design we fulfilled the timely recommendation of related products to customers, reflecting the principle of personalized service in e-shopping.
引用
收藏
页码：227 / 231
页数：5
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