福州大学学报（自然科学版）2018，Vol.46Issue(3)：330-334,5.DOI:10.7631/issn.1000-2243.17129
Apriori算法的改进及在电子商务中的应用
Improvement of Apriori algorithm and its application in electronic commerce
摘要
Abstract
In order to solve the problem that the results of the classical Apriori algorithm can not maxi-mize the profit of the merchant and artificially set the recommended weight, this paper proposes a weighted association rule model based on the Apriori algorithm, taking into account the profit and sales of the product. In the actual test data of the shopping basket, the improved algorithm showed its usefulness.关键词
数据挖掘/电子商务/Apriori算法/加权关联规则Key words
data mining/electronic commerce/Apriori algorithm/weight association rules分类
信息技术与安全科学引用本文复制引用
袁晓建,张岐山,甘智平,陈焕辉,傅龙天..Apriori算法的改进及在电子商务中的应用[J].福州大学学报（自然科学版）,2018,46(3):330-334,5.基金项目
教育部高等教育司产学合作协同育人资助项目(201701019030) （201701019030）
福建省本科高校教育教学改革研究资助项目(FBJG20170350) （FBJG20170350）
