Enhanced Churn Prediction in the Telecommunication Industry-Reference-Cited by-同舟云学术

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Enhanced Churn Prediction in the Telecommunication Industry

Published:2020 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Ben Adeniyi

Publisher

Elsevier BV

Reference34 articles.

1. Relevant drivers for customers churn and retention decision in the Nigerian mobile telecommunication industry;S O Adebiyi;JC,2016

2. Optimizing Coverage of Churn Prediction in Telecommunication Industry;A Adnan;International Journal of Advanced Computer Science and Applications,2017

3. Customer churn prediction in telecom using machine learning in big data platform;A K Ahmad;JBD,2019

4. Telecom churn prediction model using data mining techniques;S Albadawi;BUJICT,2017

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners;IEEE Access;2024

2. An approach with flexible choice of model for customer churn prediction and retention help;2022 5th International Symposium on Informatics and its Applications (ISIA);2022-11-29

3. Accuracy Measure of Customer Churn Prediction in Telecom Industry using Adaboost over Decision Tree Algorithm;Journal of Pharmaceutical Negative Results;2022-01-01

4. Systematic Review on Churn Prediction Systems in Telecommunications;Proceedings of Third International Conference on Communication, Computing and Electronics Systems;2022

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