数据挖掘技术在识别潜在目标用户模型中的应用研究  

Research of applying data mining technology to identifying the potential customers' model

作　　者：林丽金[1] 

机构地区：[1]福建对外经济贸易职业技术学院信息技术系,福建福州350001

出　　处：《宁德师范学院学报（自然科学版）》2012年第2期197-200,共4页Journal of Ningde Normal University(Natural Science)

摘　　要：应用spssclementine数据挖掘工具构建logistic模型来预测潜在目标用户购买通信产品的概率,通过模型预测结果对购买通信产品概率比较高的用户进行产品推销,提高营销准确率,从而实现产品从粗放式营销到精确化营销,以节省通信企业投入成本,提高通信企业运营效益.The paper applies the SPSS Clementine data mining tool to building a logistic model to predict the probability of the potential goal customers.Depended on the results,the model can be used to promote the products to the goal customers.Eventually,the accurate marketing can reduce the cost of the operation of the telecommunication business.

关 键 词：数据挖掘 LOGISTIC模型 精确营销 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]