基于关联规则的搭配进货系统的研究与实现

为了解决商品进货无关联的现状，找到商品间的关联规则，更好地进行商品的搭配进货，从而提高进货效率，文中引入了关联规则的思想，并利用规则进行了商品关联规则的挖掘。在分析了关联规则挖掘的算法后，将其应用到超市商品数据库中，利用关联规则挖掘出大量数据中项集即商品之间的相互关联，并抽取出有价值的商品关联规则，利用支持度和平衡度这两个度量概念，优化出强规则集，并用这一思想成功设计了PLM即产品全生命周期管理中的搭配进货系统。

Research and Realization of Restocking System Based on Association Rules

In order to address the status of commodity stock that are not associated, find associations rules of commodities and matching of goods stock, so as to improve the efficiency of stock,introduced the idea of association rules and used rules for commodity association rule mining. In this paper, algorithm of association rules mining is analyzed and applied to the database of supermarket goods. The valuable association rules of supermarket goods were extracted, then the strong rules were extracted by using the two metrics concept of support and balance. Finally ,all strong rules were applied to the restocked system of PLM.