利用销售数据的商品影响关系挖掘研究

数据挖掘技术作为一种有效的决策工具正为企业做出科学决策提供依据。该文针对关联规则挖掘商品间相关性的不足,提出了一种新的计算方法利用销售商的商品销售数据挖掘商品之间的相关性及影响关系。该方法根据商品销售数据的变化得到所有商品销售数据的时间序列,然后计算测量序列的相似度,从而确定商品间影响关系。实验证明了该方法的有效性,同时得到了一些有价值的结果,可用于指导具体商业实践。

Study of Influence Correlation Mining among Commodities Based on Sale Data

Data mining can help business enterprise get valuable information from continual accumulated and updated data sources. This paper uses seller's commodity sale database to investigate the correlations among commodities. Especially, aiming to the shortage of association rule algorithm in mining the correlation among commodities, this paper proposes a new algorithm. Based on daily sale data record of commodities, we obtain their sale data time series according to the change of commodities' sales, then compare these time series, measure their distance, and finally get correlations of commodities. Some experiments on real data sets validate the effectiveness of our proposed method. And we obtain some valuable results, which can guide the business application.