关联规则挖掘算法在校园超市营销的应用研究

Research on Association Rules Mining Algorithm and Its Application in Marketing of Campus Supermarket

在介绍了关联规则挖掘算法的相关概念以及算法的基础上,利用校园超市近两个月的销售记录进行挖掘分析,得出了该超市商品销售的关联规则,并利用对两条规则的置信度进行分析,建议采取将规则涉及的商品进行组合销售的策略。

On the basis of introducing the related concepts and algorithms of association rules mining algorithm, the association rules of merchandise sales in campus supermarket are obtained by mining and analyzing the sales records of the supermarket in the past two months, and the confidence of the two rules is analyzed. The strategy. is suggested that the merchandise involved in the rules should be sold in combination.