Predicting Customers' Churn Using Data Mining Technique and its Effect on the Development of Marketing Applications in Value-Added Services in Telecom Industry

Sajjad Shokyar; Parna Saeidpour; Ali Otarkhani

首页> 外文期刊>International journal of information systems in the service sector >Predicting Customers' Churn Using Data Mining Technique and its Effect on the Development of Marketing Applications in Value-Added Services in Telecom Industry

【24h】

Predicting Customers' Churn Using Data Mining Technique and its Effect on the Development of Marketing Applications in Value-Added Services in Telecom Industry

机译：使用数据挖掘技术预测客户流失及其对电信行业增值服务中营销应用程序开发的影响

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

This article aims to predict reasons behind customers' churn in the mobile communication market. In this study, different data mining techniques such as logistic regression, decision trees, artificial neural networks, and K-nearest neighbor were examined. In addition, the general trend of the use of the techniques is presented, in order to identify and analyze customers' behavior and discover hidden patterns in the database of an active Coin the field of VAS1for mobile phones. Based on the results of this article, organizations and companies active in this area can identify customers' behavior and develop the required marketing strategies for each group of customers.

机译：本文旨在预测客户在移动通信市场流失的原因。在这项研究中，研究了不同的数据挖掘技术，例如逻辑回归，决策树，人工神经网络和K近邻。此外，提出了使用该技术的总体趋势，以便识别和分析客户的行为，并在移动电话VAS1领域的活动硬币数据库中发现隐藏的模式。根据本文的结果，活跃于此领域的组织和公司可以识别客户的行为并为每组客户制定所需的营销策略。

著录项

来源
《International journal of information systems in the service sector》 |2018年第4期|59-72|共14页
作者
Sajjad Shokyar; Parna Saeidpour; Ali Otarkhani;
展开▼
作者单位

Department of Information Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran;

Department of Information Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran;

Department of Information Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
Churn of Customers; Customer Classification; Data Mining; KNN Algorithm; Mobile Telecom Market;

机译：客户流失;客户分类;数据挖掘;KNN算法;移动电信市场;

相似文献

外文文献
中文文献
专利

1. A Survey On Data Mining Techniques In Customer Churn Analysis For Telecom Industry [J] . Amal M. Almana, Mehmet Sabih Aksoy, Rasheed Alzahrani International Journal of Engineering Research and Applications . 2014,第5期

机译：电信行业客户流失分析中的数据挖掘技术研究
2. A Survey On Data Mining Techniques In Customer Churn Analysis For Telecom Industry [J] . Amal M. Almana, Mehmet Sabih Aksoy, Rasheed Alzahrani International Journal of Engineering Research and Applications . 2014,第5期

机译：电信行业客户流失分析中的数据挖掘技术研究
3. Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry [J] . Gordini Niccolo, Veglio Valerio Industrial marketing management . 2017,第APRa期

机译：客户流失预测和市场保留策略。基于AUC参数选择技术的支持向量机在B2B电子商务行业中的应用
4. Predictive To Prescriptive Analysis For Customer Churn in Telecom Industry Using Hybrid Data Mining Techniques [C] . Atul Sunil Choudhari, Manish Potey International Conference on Computing Communication Control and Automation . 2018

机译：混合数据挖掘技术对电信行业客户潮流的规范分析预测
5. Data warehousing and mining: Customer churn analysis in the wireless industry. [D] . Nath, Shyam Varan. 2003

机译：数据仓库和数据挖掘：无线行业的客户流失分析。
6. Gone are the days of mass-media marketing plans and short term customer relationships: tobacco industry direct mail and database marketing strategies [O] . M Jane Lewis, Pamela M Ling -1

机译：大众媒体营销计划和短期客户关系的时代已经一去不复返了：烟草业直接邮件和数据库营销策略
7. A Survey On Data Mining Techniques In Customer Churn Analysis For Telecom Industry [O] . Amal M. Almana, Mehmet Sabih Aksoy 2014

机译：电信行业客户流失分析中的数据挖掘技术综述

Predicting Customers' Churn Using Data Mining Technique and its Effect on the Development of Marketing Applications in Value-Added Services in Telecom Industry

摘要

著录项

相似文献

相关主题

期刊订阅