摘要
论文利用关联规则分析对扬州市某中型连锁超市会员购物数据进行数据挖掘,从交易数据中发现顾客购物篮中的不同商品之间的关联性,哪些商品组合会被顾客经常一同购买,从而对具有强关联规则的商品进行捆绑促销,优化超市商品布局,为顾客提供一个快捷便利的购物环境。
This paperusesassociation rulesanalysis tomine themember shoppingdata of amedium-sized supermarket chainin Yangzhou City, and finds the correlation among different goods in the customer shopping basket from the transaction data.Which combination of goodswill be purchased together by customers, so that the goods with strong association rules can be bundled and promoted, the layout of supermarket goods will beoptimized,and a fast andconvenient shopping environmentwill beprovided for customers.
作者
张生华
李佳慧
李娜
ZHANG Sheng-hua;LI Jia-hui;LI Na(Yangzhou Institute of Technology, Yangzhou 225000, China)
出处
《中小企业管理与科技》
2019年第15期61-61,63,共2页
Management & Technology of SME
基金
江苏省大学生创业创新训练校企合作基金项目,项目编号:201711462022H
关键词
数据挖掘
关联规则分析
商品布局
datamining
association rulesanalysis
commoditylayout