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Hybrid model for profit-driven churn prediction based on cost minimization and return maximization
16 references·7 citing·46 second hop
Hybrid model for profit-driven churn prediction based on cost minimization and return maximization (2023)Hybrid model for profit-driven churn pred…Profit Driven Decision Trees for Churn Prediction (2020)Profit Driven Decision Trees …Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)Churn Prediction in Telecommu…Modelling of carbon price in two real carbon trading markets (2019)Modelling of carbon price in …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 …A multi-objective approach for profit-driven feature selection in credit scoring (2019)A multi-objective approach fo…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…A big data analytics model for customer churn prediction in the retiree segment (2018)A big data analytics model fo…In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)In Pursuit of Enhanced Custom…An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)An empirical comparison of te…Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Churn prediction using compre…A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A Novel Profit Maximizing Met…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Credit card churn forecasting by logistic regression and decision tree (2011)Credit card churn forecasting…An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction (2011)An empirical evaluation of ro…Improving customer retention in taxi industry using travel data analytics: A churn prediction study (2025)Improving customer retention …Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction (2025)Bridging Predictive Insights …Unveiling the Power of Social Influence: A Machine Learning Framework for Churn Prediction With Network Analysis (2024)Unveiling the Power of Social…Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction (2024)Profit-driven fusion framewor…Predicting customer abandonment in recurrent neural networks using short-term memory (2024)Predicting customer abandonme…Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature (2024)Factors, Predictability, and …A neural network-based predictive decision model for customer retention in the telecommunication sector (2024)A neural network-based predic…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Modeling Customer Lifetime Value (2006)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)Marketing Management: The Millennium Edition (1999)Financial time series forecasting using support vector machines (2003)Developing a prediction model for customer churn from electronic banking services using data mining (2016)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)Operational Research and Artificial Intelligence Methods in Banking (2022)Introduction to Data Mining (2007)Development and application of consumer credit scoring models using profit-based classification measures (2014)Improved churn prediction in telecommunication industry using data mining techniques (2014)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Zero defections: quality comes to services. (1990)Valuing Customers (2004)The Effects of Customer Satisfaction, Relationship Commitment Dimensions, and Triggers on Customer Retention (2005)A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Customer delight: Foundations, findings, and managerial insight (1997)Linguistic Inquiry and Word Count (LIWC) (2012)Private traits and attributes are predictable from digital records of human behavior (2013)Managing Churn to Maximize Profits (2020)The effect of AI-based CRM on organization performance and competitive advantage: An empirical analysis in the B2B context (2021)AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system (2022)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Handling class imbalance in customer churn prediction (2008)A Hybrid Approach Using Oversampling Technique and Cost‐Sensitive Learning for Bankruptcy Prediction (2019)Explaining and predicting employees’ attrition: a machine learning approach (2020)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Credit Scoring and Its Applications (2002)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2020)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry (2019)Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)Turning telecommunications call details to churn prediction: a data mining approach (2002)Customer churn prediction system: a machine learning approach (2021)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Deep Churn Prediction Method for Telecommunication Industry (2023)
this work references cited by second hop

References

  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2011Credit card churn forecasting by logistic regression and decision tree225 cited
  • 2017In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions189 cited
  • 2012A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models177 cited
  • 2014Churn prediction using comprehensible support vector machine: An analytical CRM application175 cited
  • 2017An empirical comparison of techniques for the class imbalance problem in churn prediction161 cited
  • 2020Churn Prediction in Telecommunication using Logistic Regression and Logit Boost160 cited
  • 2019Modelling of carbon price in two real carbon trading markets150 cited
  • 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network149 cited
  • 2019A multi-objective approach for profit-driven feature selection in credit scoring141 cited

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2011
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
132 cited
  • 2020Profit Driven Decision Trees for Churn Prediction130 cited
  • 2018A big data analytics model for customer churn prediction in the retiree segment125 cited
  • Cited by

    • 2024Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction29 cited
    • 2024A neural network-based predictive decision model for customer retention in the telecommunication sector14 cited
    • 2024Unveiling the Power of Social Influence: A Machine Learning Framework for Churn Prediction With Network Analysis14 cited
    • 2024Predicting customer abandonment in recurrent neural networks using short-term memory13 cited
    • 2025Bridging Predictive Insights and Retention Strategies: The Role of Account Balance in Banking Churn Prediction13 cited
    • 2025Improving customer retention in taxi industry using travel data analytics: A churn prediction study10 cited
    • 2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited