摘要
以数据挖掘中的关联规则挖掘技术为工具,对大型超市会员消费信息数据进行挖掘,对城市居民的消费观念、消费习惯和消费心理等消费行为进行了分析,指出最终的挖掘结果可为政府制定民生政策和超市企业进行营销提供科学决策依据。
Taking the association rules mining technology of data mining as the tool, this paper makes the data mining for the transaction information of the members of the large supermarket, analyzes the consumption behaviors of urban residents including their consumption concepts, consumption habits and consumption psychology, and points out that the final results of the data mining can provide the foundations for government to formulate the livelihood policies and for supermarket enterprises to carry through their marketing.
出处
《科技情报开发与经济》
2010年第19期136-138,共3页
Sci-Tech Information Development & Economy
基金
秦皇岛市科学技术研究与发展计划项目"基于超市信息数据挖掘的我市居民微观消费行为研究"(200901A321)
关键词
关联规则挖掘
居民消费行为
超市交易信息
association rules mining
resident consumption behavior
supermarket transaction information
