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Targeting customers for profit: An ensemble learning framework to support marketing decision-making
16 references·16 citing·45 second hopsampled
Targeting customers for profit: An ensemble learning framework to support marketing decision-making (2019)Targeting customers for profit: An ensemb…Cost-based feature selection for Support Vector Machines: An application in credit scoring (2017)Cost-based feature selection …An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)An empirical comparison of te…A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A comparative analysis of dat…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Real-Time Optimization of Personalized Assortments (2014)Real-Time Optimization of Per…Development and application of consumer credit scoring models using profit-based classification measures (2014)Development and application o…Big Data Investment, Skills, and Firm Value (2013)Big Data Investment, Skills, …A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A Novel Profit Maximizing Met…Predictive Analytics in Information Systems Research1 (2011)Predictive Analytics in Infor…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Bridging the Academic–Practitioner Divide in Marketing Decision Models (2011)Bridging the Academic–Practit…Predictive Analytics in Information Systems Research (2010)Predictive Analytics in Infor…Modeling churn using customer lifetime value (2008)Modeling churn using customer…Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Defection Detection: Measurin…Optimal Prediction Under Asymmetric Loss (1997)Optimal Prediction Under Asym…Prediction with a Generalized Cost of Error Function (1969)Prediction with a Generalized…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 black-box classification for customer churn prediction with segmented interpretability analysis (2024)Hybrid black-box classificati…Explainable profit-driven hotel booking cancellation prediction based on heterogeneous stacking-based ensemble classification (2024)Explainable profit-driven hot…Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data (2024)Bankruptcy prediction using o…A blending ensemble learning model for crude oil price forecasting (2024)A blending ensemble learning …Profit- and risk-driven credit scoring under parameter uncertainty: A multiobjective approach (2023)Profit- and risk-driven credi…Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art (2023)Ensemble Methods in Customer …Uplift modeling with value-driven evaluation metrics (2021)Uplift modeling with value-dr…Targeting customers under response-dependent costs (2021)Targeting customers under res…Profit margin prediction in sustainable road freight transportation using machine learning (2021)Profit margin prediction in s…Optimal feature selection and hybrid deep learning for direct marketing campaigns in banking applications (2021)Optimal feature selection and…Targeted reminders of electronic coupons: using predictive analytics to facilitate coupon marketing (2020)Targeted reminders of electro…On realising the utopian potential of big data analytics for maximising return on marketing investments (2020)On realising the utopian pote…Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning (2020)Class balancing in customer s…Response transformation and profit decomposition for revenue uplift modeling (2019)Response transformation and p…Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons (1994)Revenue Management Under a General Discrete Choice Model of Consumer Behavior (2004)The Theory and Practice of Revenue Management (2004)A review of revenue management: Recent generalizations and advances in industry applications (2019)Data Analytics in Operations Management: A Review (2019)A Statistical Learning Approach to Personalization in Revenue Management (2021)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)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Autoregressive Conditional Density Estimation (1994)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Forecasting economic and financial time-series with non-linear models (2004)Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss? (2008)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities (2006)To Explain or to Predict? (2010)Using PLS path modeling in new technology research: updated guidelines (2016)When to use and how to report the results of PLS-SEM (2018)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Data preparation for data mining (1999)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Credit Scoring and Its Applications (2002)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending (1996)Beyond Computation: Information Technology, Organizational Transformation and Business Performance (2000)Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value1 (2004)Big Data Research in Information Systems: Toward an Inclusive Research Agenda (2016)Debating big data: A literature review on realizing value from big data (2017)Going digital: implications for firm value and performance (2023)The Discovery of Grounded Theory; Strategies for Qualitative Research (1968)User Acceptance of Information Technology: Toward A Unified View1 (2003)Predictive model assessment in PLS-SEM: guidelines for using PLSpredict (2019)Handling class imbalance in customer churn prediction (2008)Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House (2013)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Some comments on the evaluation of economic forecasts (1973)Forecasting Transformed Series (1976)Density forecasting: a survey (2000)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)
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References

  • 2011Predictive Analytics in Information Systems Research11,323 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2010Predictive Analytics in Information Systems Research676 cited
  • 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
  • 2013Big Data Investment, Skills, and Firm Value488 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 1997Optimal Prediction Under Asymmetric Loss342 cited
  • 1969Prediction with a Generalized Cost of Error Function323 cited
  • 2014Real-Time Optimization of Personalized Assortments250 cited
  • 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry214 cited
  • 2008Modeling churn using customer lifetime value187 cited
  • 2014Development and application of consumer credit scoring models using profit-based classification measures179 cited
  • 2012A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models177 cited
  • 2017An empirical comparison of techniques for the class imbalance problem in churn prediction161 cited

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  • 2011Bridging the Academic–Practitioner Divide in Marketing Decision Models156 cited
  • 2017Cost-based feature selection for Support Vector Machines: An application in credit scoring155 cited
  • Cited by

    • 2024Profit-driven weighted classifier with interpretable ability for customer churn prediction66 cited
    • 2023Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art59 cited
    • 2019Response transformation and profit decomposition for revenue uplift modeling54 cited
    • 2024A blending ensemble learning model for crude oil price forecasting48 cited
    • 2021Profit margin prediction in sustainable road freight transportation using machine learning45 cited
    • 2024Explainable profit-driven hotel booking cancellation prediction based on heterogeneous stacking-based ensemble classification30 cited
    • 2020On realising the utopian potential of big data analytics for maximising return on marketing investments30 cited
    • 2024Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction29 cited
    • 2023Profit- and risk-driven credit scoring under parameter uncertainty: A multiobjective approach28 cited
    • 2021Targeting customers under response-dependent costs26 cited
    • 2021Uplift modeling with value-driven evaluation metrics23 cited
    • 2024Hybrid black-box classification for customer churn prediction with segmented interpretability analysis21 cited
    • 2020Targeted reminders of electronic coupons: using predictive analytics to facilitate coupon marketing20 cited
    • 2024Bankruptcy prediction using optimal ensemble models under balanced and imbalanced data19 cited
    • 2020Class balancing in customer segments classification using support vector machine rule extraction and ensemble learning15 cited
    • 2021Optimal feature selection and hybrid deep learning for direct marketing campaigns in banking applications11 cited