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Design and Implementation of a System for Comparative Analysis of Learning Architectures for Churn Prediction
11 references·2 citing·48 second hop
Design and Implementation of a System for Comparative Analysis of Learning Architectures for Churn Prediction (2021)Design and Implementation of a System for…Dynamic behavior based churn prediction in mobile telecom (2020)Dynamic behavior based churn …Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Incorporating textual informa…Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis (2019)Churn Prediction with Sequent…A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)A Churn Prediction Model Usin…Telecommunication Services Churn Prediction - Deep Learning Approach (2018)Telecommunication Services Ch…High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry (2017)High Accuracy Predictive Mode…Telecommunication subscribers' churn prediction model using machine learning (2013)Telecommunication subscribers…A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)A Customer Churn Prediction M…A new filter feature selection approach for customer churn prediction in telecommunications (2010)A new filter feature selectio…A new feature set with new window techniques for customer churn prediction in land-line telecommunications (2009)A new feature set with new wi…Customer Churn Prediction Based on Coordinate Attention Mechanism with CNN-BiLSTM (2025)Customer Churn Prediction Bas…Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature (2024)Factors, Predictability, and …Turning telecommunications call details to churn prediction: a data mining approach (2002)Applying data mining to telecom churn management (2005)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)A Hybrid Churn Prediction Model in Mobile Telecommunication Industry (2013)Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling (2017)Effective ML Techniques to Predict Customer Churn (2021)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)A Strategic Framework for Customer Relationship Management (2005)Enterprise Systems: State-of-the-Art and Future Trends (2011)Improved churn prediction in telecommunication industry using data mining techniques (2014)Telco Churn Prediction with Big Data (2015)A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)Customer churn prediction by hybrid neural networks (2009)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)A comparison of machine learning techniques for customer churn prediction (2015)Combining Sequential and Aggregated Data for Churn Prediction in Casual Freemium Games (2019)Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry (2020)Performance Analysis of Different Machine Learning in Customer Prediction (2022)A Multi-Layer Perceptron Approach for Customer Churn Prediction (2015)Churn analysis using deep convolutional neural networks and autoencoders (2016)Designing of customer and employee churn prediction model based on data mining method and neural predictor (2017)Analysis of customer churn prediction using machine learning and deep learning algorithms (2022)Deep Convolutional Neural Network Based Churn Prediction for Telecommunication Industry (2022)Machine Learning and Deep Learning technique used in Customer Churn Prediction: - A Review (2023)Handling class imbalance in customer churn prediction (2008)Customer churn prediction system: a machine learning approach (2021)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Zero defections: quality comes to services. (1990)Marketing management: analysis. planning. implementation and control (2000)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods (2020)Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)Big data: the management revolution. (2012)Big Data : The Management Revolution (2013)Beyond the hype: Big data concepts, methods, and analytics (2014)Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach (2022)Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models (2024)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A Stacking-Based Data Mining Solution to Customer Churn Prediction (2021)A New Churn Prediction Model Based on Deep Insight Features Transformation for Convolution Neural Network Architecture and Stacknet (2022)Dynamic Behavior-Based Churn Forecasts in the Insurance Sector (2023)Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Machine learning based customer churn prediction in home appliance rental business (2023)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)Deep Churn Prediction Method for Telecommunication Industry (2023)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)
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References

  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2012A Customer Churn Prediction Model in Telecom Industry Using Boosting185 cited
  • 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network149 cited
  • 2013Telecommunication subscribers' churn prediction model using machine learning140 cited
  • 2020Dynamic behavior based churn prediction in mobile telecom114 cited
  • 2009A new feature set with new window techniques for customer churn prediction in land-line telecommunications64 cited
  • 2017High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry26 cited
  • 2019Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis24 cited
  • 2018Telecommunication Services Churn Prediction - Deep Learning Approach22 cited
  • 2010A new filter feature selection approach for customer churn prediction in telecommunications15 cited

Cited by

  • 2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited
  • 2025Customer Churn Prediction Based on Coordinate Attention Mechanism with CNN-BiLSTM

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7 cited