Customer churn prediction in telecom sector using machine learning techniques
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Applied Mathematics,Control and Optimization,Modeling and Simulation,Control and Systems Engineering
Reference25 articles.
1. A churn prediction model using random forest: analysis of machine learning techniques for churn prediction and factor identification in telecom sector;Ullah;IEEE Access,2019
2. Churn prediction on huge telecom data using hybrid firefly based classification;Ahmed;Egypt Inform J,2017
3. An efficient technique for feature selection to predict customer churn in telecom industry;E,2019
4. Churn prediction in telecommunication using logistic regression and logit boost;Jain;Procedia Comput Sci,2020
5. An effective classifier for predicting churn in telecommunication;Pamina;J Adv Res Dyn Control Syst,2019
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1. Customer churn analysis using feature optimization methods and tree-based classifiers;Journal of Services Marketing;2024-09-03
2. Assessing the effectiveness of OTT services, branded apps, and gamified loyalty giveaways on mobile customer churn in the telecom industry: A machine-learning approach;Telecommunications Policy;2024-09
3. FLORUS: An Efficient Big Data Framework for Telecom Customer Behavior Analysis;SN Computer Science;2024-07-27
4. Predictive Customer Analytics: Machine Learning for Churn Prediction and Retention;Ahliya Journal of Business Technology and MEAN Economies;2024-07-15
5. Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning;PLOS ONE;2024-06-06
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