Enhancing Customer Retention Strategies: Predicting Churn Rate in Telecom Sectors Using Machine Learning Ensemble Techniques
Author:
Affiliation:
1. Symbiosis International (Deemed University),Symbiosis Centre for Information Technology,Pune,India
2. Anna University & Adhiparasakthi Engineering College,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10543256/10543221/10543502.pdf?arnumber=10543502
Reference15 articles.
1. Computer assisted customer churn management: State-of-the-art and future trends
2. Catch-up cycles and changes in industrial leadership:Windows of opportunity and responses of firms and countries in the evolution of sectoral systems
3. Machine Learning from Theory to Algorithms: An Overview
4. Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service
5. Churn Analysis with Machine Learning Classification Algorithms in Python
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