Building the CRBT Customer Churn Prediction Model:A Data Mining Approach

机译：建立CRBT客户流失预测模型：一种数据挖掘方法

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摘要

Value-added services become major business of China telecom operators, and CRBT is one of the most successful services in them. Under fierce competition conditions, CRBT customers churn significantly decrease the profits of operators.So churn management becomes a major focus of them to retain subscribers via satisfying their needs under resource constraints. One of the challenges is that churner prediction specific to this business is not available in existing literatures.Through empirical evaluation, this study analyze the features of CRBT, compare various data mining techniques that can assign a ‘propensity to chum’ to each CRBT subscriber. The results indicate that our models can achieve satisfactory prediction effectiveness by using customer demographics, billing and service usage information. At the same time, we find some new symptoms different from existing telecom chum literatures, and try to explain them.

机译：增值服务已成为中国电信运营商的主要业务，CRBT是其中最成功的服务之一。在激烈的竞争环境下，彩铃客户流失会大大降低运营商的利润，因此流失管理成为他们在资源受限的情况下通过满足用户需求来保留订户的主要重点。挑战之一是现有文献中没有针对该业务的搅局预测。通过实证评估，本研究分析了CRBT的特征，比较了各种数据挖掘技术，这些技术可以为每个CRBT订户分配“充值倾向”。结果表明，我们的模型可以通过使用客户人口统计信息，账单和服务使用信息来达到令人满意的预测效果。同时，我们发现了一些与现有电信文献不同的新症状，并试图对其进行解释。

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来源
《The Seventh Wuhan International Conference on E-Business: Unlocking the Full Potential of Global Technology》|2008年|2611-2616|共6页
会议地点 Wuhan(CN)
作者
GUO Xinyan; rnYUAN Yijun;
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作者单位

Qian Su@School of economic management,UESTC,Chengdu,610054,China--Peiji Shao@School of economic management,UESTC,Chengdu,610054,China--Tao Zou@WXTK Technology CO.,Chengdu,610000,China--;

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会议组织
原文格式 PDF
正文语种 eng
中图分类贸易经济;计算技术、计算机技术;
关键词
chum management; CRBT; data mining; decision tree; neural network;

机译：团队管理; CRBT;数据挖掘;决策树;神经网络;

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1. CRBT customer churn prediction: can data mining techniques work? [J] . Qian Su, rnPeiJi Shao, rnTao Zou International Journal of Networking and Virtual Organisations . 2010,第4期

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2. A Review on Customer Churn Prediction Data Mining Modeling Techniques [J] . Nadeem Ahmad Naz, Umar Shoaib, M. Shahzad Sarfraz Indian Journal of Science and Technology . 2018,第27期

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3. USING DATA MINING IN TELECOMMUNICATION INDUSTRY: CUSTOMER?S CHURN PREDICTION MODEL [J] . RAYAN MASOUD, TARIG MOHAMED AHMED Journal of Theoretical and Applied Information Technology . 2016,第2期

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4. Building the CRBT Customer Churn Prediction Model:A Data Mining Approach [C] . Wuhan International Conference on E-Business . 2008

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5. Data warehousing and mining: Customer churn analysis in the wireless industry. [D] . Nath, Shyam Varan. 2003

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Building the CRBT Customer Churn Prediction Model:A Data Mining Approach

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