基于决策树技术的预离网客户识别模型

客户流失将直接影响到通信运营企业的生存与发展.对此,需要利用数据挖掘技术通过建立预测模型,将有离网倾向的客户（预离网客户）识别出来,并采用有效措施进行保有.以CRISP-DM（跨行业数据挖掘过程标准）为工具,从商业理解、数据理解、数据准备、建立模型、模型评估和结果部署6个阶段,详细阐述了预离网客户识别模型的构建方法,并...

Identifying Model for Anticipated Communication Service-discontinuing Customers Based on Decision Tree Technology

The loss of customers will directly impact the survival and development of telecom enterprises,therefore,it is necessary to use the data to develop technology,identify anticipated communication service-discontinuing customers by establishing forecast test model as well as carrying out effective measures to retain.Taking the CRISP-DM(Cross-Industry Standard Process for Data Mining) as a tool,from aspects of business understanding,data understanding,data preparation,establishment of model,model evaluation and outcome arrangement,the method of establishing the model for identifying anticipated communication service-discontinuing customers was discussed in detail.Decision tree node model was used as data mining tool and technology to establish the identifying model.The model has played a positive role in the process of retaining works for communication customers and achieved good effect.