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Customer churning analysis using machine learning algorithms

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References

2019Customer churn prediction in telecom using machine learning in big data platform486 cited
2015A comparison of machine learning techniques for customer churn prediction470 cited
2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
2021Customer churn prediction system: a machine learning approach328 cited
2013A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services149 cited

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2024AI-Based Customer Churn Prediction Model for Business Markets in the USA: Exploring the Use of AI and Machine Learning Technologies in Preventing Customer Churn24 cited
2024Application of machine learning techniques for churn prediction in the telecom business21 cited
2023TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments19 cited
2024Hybrid Machine Learning Models for Predictive Maintenance in Cloud-Based Infrastructure for SaaS Applications19 cited
2024Unveiling the Power of Social Influence: A Machine Learning Framework for Churn Prediction With Network Analysis

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14 cited

2024Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression11 cited

2024Developing strategies to retain organizational insurers using a clustering technique: Evidence from the insurance industry11 cited

2024Application of GWO-attention-ConvLSTM model in customer churn prediction and satisfaction analysis in customer relationship management9 cited

2025Optimized churn prediction using ensemble-based feature selection via second-order cone programming9 cited

2025RetenNet: A Deployable Machine Learning Pipeline with Explainable AI and Prescriptive Optimization for Customer Churn Management9 cited

2024Data-Driven Decision-Making: Accurate Customer Churn Prediction with Cat-Boost8 cited

2024An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation7 cited