摘要
购物篮分析是数据挖掘技术应用在零售业中的一种有效方式,其目的就是在顾客的购买交易中分析出能够同时购买一类产品或一组产品的可能性,利于商品的摆放,也利于提高促销活动的效果。以一个面向小型超市的购物篮分析应用实例为背景,利用Apriori算法找出满足最小支持度阈值和最小置信度阈值的强关联规则,并运用此强关联规则给超市物品摆放提供建议性的意见。
Market basket analysis is one of the most effective ways of data mining technical application in retail marketing. Its aim is to analyze the possibility of purchasing homogeneous goods additionally of the customer. This study is propitious for arrangement of the goods position and the effect of the sales promotion. In this paper, we set a market basket analysis which is miniature supermarket oriented as an example and use the Apriori algorithm to find out the strong associations which meet the threshold value of minimum support and minimum confidence. Finally, the suggestion of goods position in a supermarket utilizing the strong association rules is made.
出处
《计算机与数字工程》
2008年第6期57-60,共4页
Computer & Digital Engineering
