数据挖掘在仓库物资补给预测中的应用研究

Application Research of Data Mining in Inventory Forecasting

介绍使用数据挖掘工具SQL Server 2005 Data Mining、SPSS/Clementine进行仓库物资补给预测的方法和步骤并就使用两种数据挖掘工具,利用不同的挖掘算法进行物资补给预测的结果进行比对分析,以便使库存数量和成本之间取得平衡。

This paper studies the method and the steps of inventory forecasting by using data mining tools, SQL Server 2005 Data Mining and SPSS/Clementine. Then compare the prediction results with different algorithms by the two tools, in order to get optimal solution for inventory quantity and cost.