摘要
为缓解传统ERP系统把企业需求预测作为外部输入的局限性,通过分析汽车行业应用ERP系统存在的主要问题及原因,提出运用数据挖掘技术直接从汽车行业ERP系统中获取预测信息的方法,即对ID3决策树生成算法改良后运用于汽车ERP系统进行数据挖掘。并对该方法实现的有利因素和技术难点作了分析,通过数据挖掘模型实验检测了种挖掘的有效性。
It is quite clear that the conventional ERP system has a serious limitation of taking a forecast for the demand as the outside importation.After analyzing the current status of applying the ERP system in the automobile industry i n China,and by using the refined ID_3 algorithm to gain useful information in the system,a scheme of data mining is put forward.The favorable factors and the key technique are discussed.Then the effectiveness is detected by means of model experimenting of data mining.
出处
《桂林电子工业学院学报》
2004年第1期9-12,共4页
Journal of Guilin Institute of Electronic Technology
