Feature Selection for Customer Churn Prediction: A Review on the Methods & Techniques applied in the Telecom Industry-Reference-Cited by-同舟云学术

Feature Selection for Customer Churn Prediction: A Review on the Methods & Techniques applied in the Telecom Industry

Published:2022-04-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

Naing Yuwadi Thein¹,Raheem Mafas¹,Batcha Nowshath K¹

Affiliation:

1. Asia Pacific University of Technology & Innovation,Kuala Lumpur,Malaysia

Publisher

IEEE

Link

Reference20 articles.

Cited by 3 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. Anticipating Customer Churn in Telecommunication Using Machine Learning Algorithms for Customer Retention;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

2. Feature Weighting using Gravitational Search Algorithm in Customer Churn Prediction;International Conference on Computing, Machine Learning and Data Science;2024-04-12

3. Feature Selection using Gravitational Search Algorithm in Customer Churn Prediction;Proceedings of the 2023 7th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence;2023-04-23