数据挖掘技术在识别潜在目标用户模型中的应用研究

摘要

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.%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.