1) customer churn prediction
客户流失预测
1.
The Application of Ensemble Learning Algorithm in Customer Churn Prediction;
集成学习算法在客户流失预测中的应用
2.
This paper researches customer churn problem in Telecom industry,and establishes a Telecom customer churn prediction model based on multi-classifier when all of current researches use single classifier.
在深入分析电信业客户流失问题的基础上,针对目前研究多采用单分类器模型的不足,提出了一种基于组合分类器的电信客户流失预测模型。
3.
For the problems of customer churn, in the telecommunications industry, banking, insurance, building customer churn prediction based on data mining technology is good choose and achieved fruitful research results.
针对客户流失问题,目前在电信行业、银行业、保险行业基于数据挖掘技术进行客户流失预测建模,并取得了丰硕的研究成果。
2) customer churn warning
客户流失预警
1.
Secondly, the paper analyzes the extremely concerned problem about the loss of customers in telecommunications industry, then introduces decision tree algorithm and analyzes its application in details, that is customer churn warning model,including the definition and the establishment of model,presentation and interpretation of results, etc.
其次对电信行业极为关心的客户流失问题进行分析,进而引入决策树算法,并对决策树算法的应用——客户流失预警模型进行了详尽的分析,包括模型的定义、模型建立和结果展现与解释等等。
3) customer churn
客户流失
1.
The Early Warning System Design of Customer Churn Based on Data Mining in Mobile Telecommunication Industry;
基于数据挖掘的移动通信业客户流失预警系统设计
2.
Model of customer churn prediction on support vector machine;
基于支持向量机的客户流失预测模型
3.
Application of survival analysis in the customer churn of SP enterprise;
生存分析在电信增值服务行业客户流失分析中的应用
4) customer-churn
客户流失
1.
At present, it s possible to use the technology of data mining to realize the analysis of customer-churn along with banks pile up a great deal of data and buildup data warehouse.
银行信用卡业务属于高收益、高风险的业务,如何实现对信用卡的客户流失控制是发卡银行迫切需要解决的问题。
5) Churn
[英][tʃɜ:n] [美][tʃɝn]
客户流失
1.
Research on the Application Prediction of Cell Phone Churn based on Support Vector Machine;
SVM在移动通信客户流失预测中的应用研究
2.
A Solution for Churn Management of Telecommunication Company Based on Data Miming Technology;
基于数据挖掘的移动通讯业客户流失管理
3.
By employing data mining technology, we can: First, build a prediction model for Chum; Then, use the model to analyze why customers Churn and which customers are most likely to Churn in the future; Finally, make e make better target recruitment campaigns by summarizing customer s calling behavior.
如何才能预防、减少客户流失，数据挖掘技术的蓬勃发展为解决这一类问题指明了方向。
6) customer loss
客户流失
1.
Analysis of customer loss in ebusiness bassed on B to C;
B to C电子商务中客户流失的分析
2.
Analysis of Customer Loss on Basis of Business Analytical System;
基于经营分析系统的客户流失分析
3.
A real-evidence analysis about pertinence marketing results to a telecom increment service is performed from two views under the guidance of the customer loss dangerous degree models by use of data mining technology,in coordination with test design idea,adopting multi analysis method.
利用数据挖掘技术,结合试验设计的思想,采用多种分析方法从两个角度,通过对一家电信增值业务提供商在客户流失危险度模型指导下的针对性营销效果进行实证分析。
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条