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Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
16 references·4 citing·49 second hopsampled
Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction (2024)Profit-driven fusion framework based on b…On the platform but will they buy? Predicting customers' purchase behavior using deep learning (2021)On the platform but will they…Profit Driven Decision Trees for Churn Prediction (2020)Profit Driven Decision Trees …A novel tree-based dynamic heterogeneous ensemble method for credit scoring (2020)A novel tree-based dynamic he…Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Two-stage consumer credit ris…Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Incorporating textual informa…A multi-objective approach for profit-driven feature selection in credit scoring (2019)A multi-objective approach fo…Influence of consumer reviews on online purchasing decisions in older and younger adults (2018)Influence of consumer reviews…A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A machine learning framework …A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A comparative analysis of dat…Improved churn prediction in telecommunication industry using data mining techniques (2014)Improved churn prediction in …Development and application of consumer credit scoring models using profit-based classification measures (2014)Development and application o…A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A Novel Profit Maximizing Met…Probability Models for Customer-Base Analysis (2009)Probability Models for Custom…Customer attrition analysis for financial services using proportional hazard models (2003)Customer attrition analysis f…Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Understanding the Customer Ba…Improving customer retention in taxi industry using travel data analytics: A churn prediction study (2025)Improving customer retention …An Enhanced Deep Learning Approach to Potential Purchaser Prediction: AutoGluon Ensembles for Cross-Industry Profit Maximization (2025)An Enhanced Deep Learning App…An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence (2025)An Analysis of Consumer Purch…Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency (2024)Q-ensemble learning for custo…Credit Scoring and Its Applications (2002)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Cost-based feature selection for Support Vector Machines: An application in credit scoring (2017)Predicting mortgage default using convolutional neural networks (2018)Determinants of Long-Term Orientation in Buyer-Seller Relationships (1994)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)The Behavioral Consequences of Service Quality (1996)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Loyalty Effect (2001)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions (2009)Does Chatter Matter? 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References

  • 2000Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers1,305 cited
  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2003Customer attrition analysis for financial services using proportional hazard models430 cited
  • 2018A machine learning framework for customer purchase prediction in the non-contractual setting267 cited
  • 2018Influence of consumer reviews on online purchasing decisions in older and younger adults263 cited
  • 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry214 cited
  • 2009Probability Models for Customer-Base Analysis204 cited
  • 2021On the platform but will they buy? Predicting customers' purchase behavior using deep learning183 cited
  • 2019Two-stage consumer credit risk modelling using heterogeneous ensemble learning182 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
  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network

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149 cited
  • 2019A multi-objective approach for profit-driven feature selection in credit scoring141 cited
  • 2020Profit Driven Decision Trees for Churn Prediction130 cited
  • 2020A novel tree-based dynamic heterogeneous ensemble method for credit scoring109 cited
  • Cited by

    • 2025An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence28 cited
    • 2024Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency11 cited
    • 2025Improving customer retention in taxi industry using travel data analytics: A churn prediction study10 cited
    • 2025An Enhanced Deep Learning Approach to Potential Purchaser Prediction: AutoGluon Ensembles for Cross-Industry Profit Maximization10 cited