A comparative study of customer churn prediction in telecom industry using ensemble based classifiers
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8360186/8365179/08365230.pdf?arnumber=8365230
Cited by 26 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. Identifying Key Learning Algorithm Parameter of Forward Feature Selection to Integrate with Ensemble Learning for Customer Churn Prediction;VFAST Transactions on Software Engineering;2024-06-11
2. Enhancing customer retention in telecom industry with machine learning driven churn prediction;Scientific Reports;2024-06-07
3. Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction;Scientific African;2024-06
4. Measuring the efficiency of banks using high-performance ensemble technique;Neural Computing and Applications;2024-05-31
5. Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models;Algorithms;2024-05-27
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