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Multi-Layer Perceptron and Radial Basis Function Networks in Predictive Modeling of Churn for Mobile Telecommunications Based on Usage Patterns
16 references·0 citing·46 second hop
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(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)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management (2021)Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction (2023)IoT-Driven Transformation of Circular Economy Efficiency: An Overview (2024)Handling class imbalance in customer churn prediction (2008)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)Customer churning analysis using machine learning algorithms (2023)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Empirical study of topic modeling in Twitter (2010)Predictive Churn Modeling for Sustainable Business in the Telecommunication Industry: Optimized Weighted Ensemble Machine Learning (2023)A Model-Agnostic Interpretability Approach to Predicting Customer Churn in the Telecommunications Industry (2024)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)The Antecedents and Consequences of Customer Satisfaction for Firms (1993)Determinants of Long-Term Orientation in Buyer-Seller Relationships (1994)The Behavioral Consequences of Service Quality (1996)An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)A data-driven approach with explainable artificial intelligence for customer churn prediction in the telecommunications industry (2025)Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in imbalanced datasets with resampling methods: A comparative study (2024)Customer churn prediction model based on hybrid neural networks (2024)Explaining customer churn prediction in telecom industry using tabular machine learning models (2024)Accelerating Customer Relationships: Using Crm and Relationship Technologies (2000)Customer relationship management research (1992‐2002) (2005)Predict customer churn using combination deep learning networks model (2023)Improving Churn Detection in the Banking Sector: A Machine Learning Approach with Probability Calibration Techniques (2024)Balancing Acquisition and Retention Resources to Maximize Customer Profitability (2004)Customer loyalty: a review and future directions with a special focus on the hospitality industry (2015)Digital technologies and social sustainability in the digital transformation age: a systematic analysis and research agenda (2024)Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data (2025)Predictive Modelling of Customer Lifetime Value Using AI and Machine Learning Algorithms (2025)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Implementing machine learning techniques for customer retention and churn prediction in telecommunications (2024)
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References

  • 2008Customer churn prediction using improved balanced random forests412 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
  • 2024A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners151 cited
  • 2022Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach139 cited
  • 2023Deep Churn Prediction Method for Telecommunication Industry91 cited
  • 2022A survey on machine learning methods for churn prediction76 cited
  • 2024Enhancing customer retention in telecom industry with machine learning driven churn prediction69 cited
  • 2020From Big Data to business analytics: The case study of churn prediction63 cited
  • 2023Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion39 cited
  • 2024Ensemble-based deep learning techniques for customer churn prediction model35 cited
  • 2022Research on telecom customer churn prediction based on ensemble learning29 cited
  • 2023Predicting customer churn using grey wolf optimization‐based support vector machine with principal component analysis22 cited
  • 2024A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model

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20 cited
  • 2024Optimizing Customer Retention in the Telecom Industry: A Fuzzy-Based Churn Modeling with Usage Data20 cited
  • 2024Prediction of Churning Game Users Based on Social Activity and Churn Graph Neural Networks16 cited
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