数据挖掘在模具行业订单流失分析中的应用  

The application of data mining in order churn analysis of mold industry

作　　者：危虎[1] 胡常伟[1] 郑鹏飞 

机构地区：[1]广东工业大学机电工程学院广东省计算机集成制造重点实验室,广州510006 [2]巨轮股份有限公司,揭阳515500

出　　处：《现代制造工程》2014年第12期10-15,共6页Modern Manufacturing Engineering

基　　金：国家自然科学基金资助项目(51175094);国家科技支撑计划项目(2012BAF12B10)

摘　　要：针对模具行业客户数量相对较少但订单较多、模具制造是一个以经验和知识为基础的创作性过程的特点,在用决策树算法建立模具行业订单流失预测模型的同时,提出一种将专家的领域知识整合到流失预测模型的方法,并将其应用于某模具企业的订单流失分析中。通过实际模具企业的订单数据集测试,和与传统的决策树建模方法进行比较发现,该方法能有效地解决模具行业订单流失分析问题。The number of customers in the mold industry are limit ,but the orders are adequate ,and mold manufacturing is a crea-tive process based on experience and knowledge .Thus,it is difficult to do the churn analysis .The orders churn prediction method of mold industry integrating expert domain knowledge was proposed by using the decision tree algorithm .Then,the proposed meth-od was applied to a mold enterprise .By comparing with the model build by traditional decision tree ,results showed that the pro-posed method was suitable for solving the problem of order churn analysis in mold industry .

关 键 词：模具行业 订单流失 数据挖掘 领域知识 

分 类 号：TH166[机械工程—机械制造及自动化]