计算机应用研究2018，Vol.35Issue(2)：462-465,4.DOI:10.3969/j.issn.1001-3695.2018.02.030
基于艾宾浩斯遗忘曲线的零售商品模糊关联分析
Fuzzy association rules model of retail goods based on Ebbinghaus forgetting curve
摘要
Abstract
Consumers' preference for goods has the characteristics of sequential variation.However,the traditional association rule method has not considered the influence of time factor,and there is the problem of low efficiency in the association mining of massive data sets.Therefore,this paper proposed a fuzzy association rule algorithm based on Ebbinghaus forgetting curve.First of all,this algorithm employed the FCM clustering algorithm to cluster the goods,and introduced the Ebbinghaus forgetting curve for revising the clustering distance metrics,so that to get the goods clusters and all kinds of representative point goods.And then,it used each representative point as the attribute,and used the shopping receipt as the sample,and utilized fuzzy association rules algorithm to get the rules of the representative points.Finally,this paper used the sales records of a large supermarket as the transaction data of the association rules to mine the potential rules.The results show that the proposed algorithm can not only consider the time factor,but also apparently improve the efficiency and accuracy of association mining.关键词
艾宾浩斯遗忘曲线/聚类分析/关联规则/模糊关联规则Key words
Ebbinghaus forgetting curve/cluster analysis/association rules/fuzzy association rules分类
信息技术与安全科学引用本文复制引用
李桃迎,张鑫,陈燕..基于艾宾浩斯遗忘曲线的零售商品模糊关联分析[J].计算机应用研究,2018,35(2):462-465,4.基金项目
国家社会科学基金资助项目(15CGL031) （15CGL031）
国家自然科学基金资助项目(71271034) （71271034）
中央高校基础科研业务费专项基金资助项目(3132016212) （3132016212）
