摘要
本文通过简单的案例简述了Apriori算法在零售商品购买记录数据关联分析的应用,借助SPSS Modeler软件分析零售商店消费者的购买行为、影响消费者购买的因素、消费者同时购买的商品以及买了某种商品之后还会购买哪些商品,找出频繁项集,挖掘出零售商店商品之间的关联规则,为零售企业提供决策支持。
This paper introduces the application of Apriori algorithm in data association analysis of retail goods purchase record through a simple case.With the help of SPSS Modeler,it analyzes the purchase behavior of consumers in retail stores,the factors affecting consumers'purchase,the goods that consumers buy at the same time and what other goods they will buy after buying a certain kind of goods,so as to find out the frequent itemsets,dig out the association rules between the goods in retail stores and provide decision support for retail enterprises.
作者
王明艳
WANG Ming-yan(Hunan Financial&Industrial Vocational-Technical College,Hengyang 421002 China)
出处
《科技创新与生产力》
2021年第8期50-52,56,共4页
Sci-tech Innovation and Productivity