1.
The Analysis and Design of the Telecom Churn Model Based on Data Mining;
基于数据挖掘的电信客户流失模型分析与设计
2.
The Research of Custom Churn Prediction Based on Data Mining Methods;
基于数据挖掘的电信企业客户流失模型研究
3.
The Research on the Model of Customer Loss Based on Neural Network;
神经网络在客户流失模型中的应用研究
4.
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
5.
Telecom Customer Churn Prediction Model Based on AdaBoost;
基于AdaBoost的电信客户流失预测模型
6.
The design of the detain-value model of mobile the lossing customers in communication;
移动流失客户挽留价值估算模型探讨
7.
From Customer Churn to Customer Loyalty - A Research on Customer Competence, Customer Entropy, and Customer Corporation;
从客户流失到客户忠诚对客户竞争力、客户熵和客户型企业的研究
8.
Retrieval model for multi-customer churn:How to maximize generalized customer lifetime value under restriction of expense
基于经费约束和广义客户终身价值最大化的多客户流失挽救模型
9.
Research of the Model and Arithmetic of Customer Churn Prediction Based on Business Intelligence;
基于商务智能的客户流失预测模型与算法研究
10.
Establish a Customer Chuming Forecast Model on Data Mining;
基于数据挖掘的客户流失预测模型的建立
11.
China Mobile s Customer Absence Alerting Model: Research and Application;
中国移动客户流失预警模型研究及应用
12.
Research and Implementation of Customers Churn Prediction Model in Telecommunication;
电信领域客户流失预测模型的研究与实现
13.
Analysis and Application for National Telecoms of Customer Churn Alarm Models;
客户流失预警模型及其在电信企业的应用
14.
We also give out a realization of the model by discussing the problem PAS customer defection in this article.
结合小灵通客户流失问题，给出了该模型的具体的实现。
15.
Research for eBusiness Customer Churns Based on Assembled Model of Pareto/NB and Na(?)ve Bayes;
基于Pareto/NBD+朴素贝叶斯组合模型的电子商务客户流失预测研究
16.
The Study and Application of a Prediction Model of Telecom Customer Churn Based on Data Mining Technology;
基于数据挖掘技术的电信客户流失预测模型的研究与应用
17.
Research on Distributed Customer Churn Prediction Model Based on SVMs
基于多支持向量机的分布式客户流失预测模型研究
18.
To deal with customer churn problem in Customer Relationship Management (CRM) systems, prediction model based on Support Vector Machine (SVM) was set up.
针对客户关系管理中的客户流失问题，建立了基于支持向量机的预测模型。