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A Multi-Layer Perceptron Approach for Customer Churn Prediction
5 references·16 citing·46 second hop
A Multi-Layer Perceptron Approach for Customer Churn Prediction (2015)A Multi-Layer Perceptron Approach for Cus…A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2013)A Neural Network based Approa…Toward a hybrid data mining model for customer retention (2006)Toward a hybrid data mining m…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Customer Satisfaction Cues To…Automated Cellular Modeling and Prediction on a Large Scale (2000)Automated Cellular Modeling a…A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model (2024)A novel classification algori…A neural network-based predictive decision model for customer retention in the telecommunication sector (2024)A neural network-based predic…Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry (2023)Ensemble classification using…Customer churn analysis using XGBoosted decision trees (2022)Customer churn analysis using…Customer Churn Prediction in Telecommunication Industry Using Data Certainty (2020)Customer Churn Prediction in …Applying over 100 classifiers for churn prediction in telecom companies (2020)Applying over 100 classifiers…Prediction of Customer Plan using Churn Analysis for Telecom Industry (2019)Prediction of Customer Plan u…A Statistical Analysis of Factors Affecting Higher Education Dropouts (2019)A Statistical Analysis of Fac…Telecommunication Services Churn Prediction - Deep Learning Approach (2018)Telecommunication Services Ch…Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry (2018)Exploring nested ensemble lea…A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors (2018)A Hybrid Swarm Intelligent Ne…High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry (2017)High Accuracy Predictive Mode…Analysis of banking data using machine learning (2017)Analysis of banking data usin…A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn (2017)A Survey of Evolution in Pred…A fuzzy based churn prediction and retention model for prepaid customers in telecom industry (2017)A fuzzy based churn predictio…Supervised Massive Data Analysis for Telecommunication Customer Churn Prediction (2016)Supervised Massive Data Analy…Significance tests and goodness of fit in the analysis of covariance structures. 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A Bibliometric Analysis of Research Trends, 1985–2019 (2021)Predict customer churn using combination deep learning networks model (2023)Turning telecommunications call details to churn prediction: a data mining approach (2002)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Predicting Customer Retention using XGBoost and Balancing Methods (2020)Predicting customer churn using grey wolf optimization‐based support vector machine with principal component analysis (2023)Dropout from Higher Education: A Theoretical Synthesis of Recent Research (1975)Dropping Out of University: A Statistical Analysis of the Probability of Withdrawal for UK University Students (2001)Factors influencing university drop out rates (2009)Churn Prediction on Higher Education Data with Fuzzy Logic Algorithm (2021)Customer churn prediction using improved balanced random forests (2008)Applied Predictive Analytics : Principles and Techniques for the Professional Data Analyst (2014)A review on Churn Prediction and Customer Segmentation using Machine Learning (2022)Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study (2022)Research on telecom customer churn prediction based on ensemble learning (2022)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Building Data Mining Applications for CRM (1999)Churn prediction for high-value players in casual social games (2014)Developing a prediction model for customer churn from electronic banking services using data mining (2016)A big data analytics model for customer churn prediction in the retiree segment (2018)Churn Prediction: Does Technology Matter? (2008)Profit-based feature selection using support vector machines – General framework and an application for customer retention (2015)Intelligent data analysis approaches to churn as a business problem: a survey (2016)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Computer assisted customer churn management: State-of-the-art and future trends (2005)Social ties and their relevance to churn in mobile telecom networks (2008)
this work references cited by second hop

References

  • 2000Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior629 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2013A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services149 cited
  • 2006Toward a hybrid data mining model for customer retention120 cited
  • 2000Automated Cellular Modeling and Prediction on a Large Scale80 cited

Cited by

  • 2019A Statistical Analysis of Factors Affecting Higher Education Dropouts47 cited
  • 2020Applying over 100 classifiers for churn prediction in telecom companies39 cited
  • 2018Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry37 cited
  • 2017Analysis of banking data using machine learning34 cited
  • 2018A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors31 cited
  • 2016Supervised Massive Data Analysis for Telecommunication Customer Churn Prediction27 cited
  • 2017High Accuracy Predictive Modelling for Customer Churn Prediction in Telecom Industry26 cited
  • 2017A fuzzy based churn prediction and retention model for prepaid customers in telecom industry24 cited
  • 2018

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Telecommunication Services Churn Prediction - Deep Learning Approach
22 cited
  • 2017A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn21 cited
  • 2024A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model20 cited
  • 2019Prediction of Customer Plan using Churn Analysis for Telecom Industry18 cited
  • 2020Customer Churn Prediction in Telecommunication Industry Using Data Certainty16 cited
  • 2022Customer churn analysis using XGBoosted decision trees15 cited
  • 2024A neural network-based predictive decision model for customer retention in the telecommunication sector14 cited
  • 2023Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry11 cited