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Profit-based feature selection using support vector machines – General framework and an application for customer retention
14 references·16 citing·33 second hop
Profit-based feature selection using support vector machines – General framework and an application for customer retention (2015)Profit-based feature selection using supp…Credit Scoring and Its Applications (2017)Credit Scoring and Its Applic…Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Churn prediction using compre…Social network analysis for customer churn prediction (2013)Social network analysis for c…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…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Database Marketing: Analyzing and Managing Customers (2008)Database Marketing: Analyzing…Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Defection Detection: Measurin…Bagging and Boosting Classification Trees to Predict Churn (2006)Bagging and Boosting Classifi…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Automated Cellular Modeling and Prediction on a Large Scale (2000)Automated Cellular Modeling a…Risk assessment of customer churn in telco using FCLCNN-LSTM model (2024)Risk assessment of customer c…Profit-driven weighted classifier with interpretable ability for customer churn prediction (2024)Profit-driven weighted classi…Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction (2024)Profit-driven fusion framewor…Hybrid model for profit-driven churn prediction based on cost minimization and return maximization (2023)Hybrid model for profit-drive…Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)Impact of Hyperparameters on …Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods (2022)Identification of the most im…Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data (2022)Employee attrition prediction…Application of Machine Learning in Customer Churn Prediction (2021)Application of Machine Learni…Profit-driven churn prediction for the mutual fund industry: A multisegment approach (2020)Profit-driven churn predictio…Profit-based credit scoring based on robust optimization and feature selection (2019)Profit-based credit scoring b…Profit-based churn prediction based on Minimax Probability Machines (2019)Profit-based churn prediction…Churn Prediction Using Machine Learning and Recommendations Plans for Telecoms (2019)Churn Prediction Using Machin…Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector (2018)Computing efficient features …Partition cost-sensitive CART based on customer value for Telecom customer churn prediction (2017)Partition cost-sensitive CART…A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn (2017)A Survey of Evolution in Pred…A review and analysis of churn prediction methods for customer retention in telecom industries (2017)A review and analysis of chur…A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Market Segmentation: Conceptual and Methodological Foundations (1997)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Customer churn prediction using improved balanced random forests (2008)Gradient boosting trees for auto insurance loss cost modeling and prediction (2011)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Modeling Customer Lifetime Value (2006)Customer churn prediction in the telecommunication sector using a rough set approach (2016)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Customer satisfaction, customer retention, and market share (1993)The Behavioral Consequences of Service Quality (1996)Customer churn prediction in telecommunication industry using data certainty (2018)History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations (2019)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Evaluating multiple classifiers for stock price direction prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)Building Data Mining Applications for CRM (1999)Knowledge management and data mining for marketing (2001)A comparison of machine learning techniques for customer churn prediction (2015)Recent developments in consumer credit risk assessment (2007)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Credit scoring with macroeconomic variables using survival analysis (2008)Forecasting and operational research: a review (2008)Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House (2013)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)Loyalty Programmes: Current Knowledge and Research Directions* (2011)Does retailer CSR enhance behavioral loyalty? A case for benefit segmentation (2013)CRM to social CRM: the integration of new technologies into customer relationship management (2014)
this work references cited by second hop

References

  • 2002Credit Scoring and Its Applications669 cited
  • 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2006Bagging and Boosting Classification Trees to Predict Churn410 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2017Credit Scoring and Its Applications306 cited
  • 2008Database Marketing: Analyzing and Managing Customers290 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
  • 2013Social network analysis for customer churn prediction164 cited
  • 2000Automated Cellular Modeling and Prediction on a Large Scale80 cited

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Cited by

  • 2019Profit-based churn prediction based on Minimax Probability Machines66 cited
  • 2024Profit-driven weighted classifier with interpretable ability for customer churn prediction66 cited
  • 2017A review and analysis of churn prediction methods for customer retention in telecom industries53 cited
  • 2022Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector48 cited
  • 2018Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector46 cited
  • 2022Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data41 cited
  • 2019Profit-based credit scoring based on robust optimization and feature selection39 cited
  • 2023Hybrid model for profit-driven churn prediction based on cost minimization and return maximization35 cited
  • 2020Profit-driven churn prediction for the mutual fund industry: A multisegment approach33 cited
  • 2022Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods32 cited
  • 2024Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction29 cited
  • 2024Risk assessment of customer churn in telco using FCLCNN-LSTM model27 cited
  • 2019Churn Prediction Using Machine Learning and Recommendations Plans for Telecoms25 cited
  • 2021Application of Machine Learning in Customer Churn Prediction21 cited
  • 2017A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn21 cited
  • 2017Partition cost-sensitive CART based on customer value for Telecom customer churn prediction20 cited