该文提出了支持挖掘模型交换和移动通信客户流失分析的决策树算法框架。
This paper proposes a framework for decision tree construction algorithms that supports both model exchange and mobile communication churn analysis.
同时本文数据挖掘过程对其它电信行业的客户流失分析也具有较好的参考价值。
At the same time the process of the data mining is also useful for other telecommunication industry to analyze the customer losing.
移动客户流失分析系统在数据挖掘的基础上，实现了客户流失模型的管理应用。
The analysis system of subscriber churn in wireless carriers was constructed based on data mining.
因此，客户流失分析研究对企业降低运营成本，提高经营业绩有着极为重要的意义。
So the study of this topic has very importance significance for reducing the cost of running the company and to improve the outstanding achievement of the company.
在客户流失分析中，例如交易、客户档案、社交媒体等混合数据被储存在大数据平台。
Customer churn and next best action In customer churn analysis multiple streams of data such as transactions, customer profiles, and social media data are sourced and stored on a big data platform.
本文中关于电信业客户流失分析的研究成果对从事CRM研究的同仁也具有一定的参考价值。
In this dissertation the research achievement about customer churn analysis of telecommunications industry has certain reference value to the colleague who studies in CRM.
另一方面，客户流失分析也为其它各项客户关系管理工作例如交叉销售、市场活动等提供了基础。
On the other hand, the customer churn analysis provides a solid base for other CRM activities like cross-selling and marketing campaign promotions.
本文重点介绍了数据挖掘技术在移动通信业中应用的客户描述、客户分群、与客户流失分析的最新研究方法与进展。
This treatise mainly introduces the newly method and process in which data mining is uesd in the customer descriptions, customer segmentation and customer churn in the Mobile Telecommunication.
论文的主要工作和成果包括：1。综述了客户流失分析以及数据挖掘的研究现状，论述了客户流失分析的相关问题。
The main work and results in this paper include: 1. We give a short review on the customer churn analysis and related data mining methodology applications in customer churn.
客户流失分析是通过对以往流失客户的历史数据进行分析，找出可能离网用户的特征，及时采取相应的措施，减少客户流失的发生。
So that the reasons why they left might be found out. It will help the telecom company to adopt measures early to reduce customer churn.
通过尽早发现不满意的客户，减少客户流失：电信行业的公司已经为防止客户流失建立了详细的预测分析模型。
Reduce customer churn by identifying unhappy customers as early as possible: Companies in the telecommunication sector already have elaborate predictive analytic models for customer churn.
这些数据用来分析情感分数并确定客户流失的可能性。
The data is then analyzed to create sentiment scores and determine the churn probability of customers.
本文通过对客户流失的业务需求和数据挖掘技术的介绍，提出了一种客户流失预测分析的解决方案。
This paper gives a schema of the forecasting analysis of customer missing by explaining the business requirement of customer missing and the technical of data mining.
客户流失模型是通过对流失客户的数据进行分析后得出的，包括基本模型和行为模型。
Customer churn model, consists of basic model and behavioral model, is built based on analysis of the churned customers' basic data and behavioral history.
本文首先阐述了客户资源的重要性，然后对客户流失这一当今运营商普遍遭遇的难题进行了分析。
This paper expatiates on the importance of customer resource and analyses customer churn-the common difficult problem to operators.
并通过上述预警标准信息进行分析和管理，制定客户流失管理策略，有针对性地提出应对策略。
And carries on the analysis and the management through the above early warning standard information, the formulation customer outflow management strategy, has pointed proposes should to the strategy.
第三章结合目前最新的客户流失管理理论，从软件工程的角度进行了需求分析、系统的整体架构设计思路、模块结构等。
After that, according to the up-to-date customer churn theory, the requirement analysis, system architecture and module design are made.
分析和预测模型可以识别客户流失的驱动因素，优化配置资源，以及指示对高风险、高价值客户的联系策略。
Analytics and predictive modeling can help to identify drivers of churn, prioritize resources and alert contact strategy for customers that are both high-risk and high-value.
在现代企业的客户关系管理工作中，随着对客户价值的认识逐渐深入，企业对客户流失问题的分析占据着越来越重要的地位。
Among all CRM activities in modern enterprises, customer churn analysis plays a more and more important role, as customer value is more recognized by the enterprises.
在现代企业的客户关系管理工作中，随着对客户价值的认识逐渐深入，企业对客户流失问题的分析占据着越来越重要的地位。
Among all CRM activities in modern enterprises, customer churn analysis plays a more and more important role, as customer value is more recognized by the enterprises.
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