基于决策树的模具制造企业订单履约数据挖掘  

Data mining of order performing of die & mould manufacturing enterprises based on decision tree

作　　者：胡常伟 钱程[2] 

机构地区：[1]巨轮股份有限公司,广东揭阳515500 [2]广东工业大学广东省计算机集成制造重点实验室,广东广州510006

出　　处：《模具工业》2014年第11期4-7,共4页Die & Mould Industry

基　　金：国家科技支撑计划项目(2012BAF12B10)

摘　　要：针对模具制造企业的订单履约预测问题,采用C4.5决策树算法在Weka平台上进行了案例建模,分析了履约数据中履约状态与订单属性之间隐藏的内在联系,最终得到了履约数据决策树,并从中获取了规则知识。结果表明,该算法能正确地将履约数据进行分类,并得到若干有价值的结论,以供决策分析。In view of the problem in predicting order performing status of die ＆ mould man？ufacturing enterprises, the C4.5 decision tree algorithm was used to build the case models on the Weka platform in which the hidden inner link between the performing status and order properties in the order performing data was analyzed. Finally the decision tree of order performing data was got and from which was the rules knowledge received. The results show that the algorithm can basically correctly classify the order performing data and get some valuable conclusions for decision analysis.

关 键 词：履约 决策树 数据挖掘 C4.5算法 模具制造 

分 类 号：TG76[金属学及工艺—刀具与模具] TP391.73[自动化与计算机技术—计算机应用技术]