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Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry
16 references·3 citing·54 second hop
Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry (2022)Applying hybrid machine learning algorith…Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Assessing credit risk of comm…Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Two-stage consumer credit ris…Integration of unsupervised and supervised machine learning algorithms for credit risk assessment (2019)Integration of unsupervised a…Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Study on a prediction of P2P …A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring (2018)A novel multi-stage hybrid mo…A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…Creating Enduring Customer Value (2016)Creating Enduring Customer Va…Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms (2015)Description-text related soft…Herding behavior in online P2P lending: An empirical investigation (2012)Herding behavior in online P2…Customer Relationship Management: Concept, Strategy, and Tools (2012)Customer Relationship Managem…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Managing Dynamics in a Customer Portfolio (2009)Managing Dynamics in a Custom…Customer Portfolio Management: Toward a Dynamic Theory of Exchange Relationships (2004)Customer Portfolio Management…Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Return on Marketing: Using Cu…Predicting customer potential value an application in the insurance industry (2001)Predicting customer potential…PORTFOLIO SELECTION* (1952)PORTFOLIO SELECTION*A path from multichannel customer data to real-time personalization: Predicting customers’ psychological traits through machine learning (2025)A path from multichannel cust…How can artificial intelligence help customer intelligence for credit portfolio management? 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References

  • 1952PORTFOLIO SELECTION*13,480 cited
  • 2003Return on Marketing: Using Customer Equity to Focus Marketing Strategy2,149 cited
  • 2016Creating Enduring Customer Value827 cited
  • 2004Customer Portfolio Management: Toward a Dynamic Theory of Exchange Relationships550 cited
  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2018Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning444 cited
  • 2012Herding behavior in online P2P lending: An empirical investigation357 cited
  • 2015Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms309 cited
  • 2001Predicting customer potential value an application in the insurance industry234 cited
  • 2012Customer Relationship Management: Concept, Strategy, and Tools199 cited
  • 2019Two-stage consumer credit risk modelling using heterogeneous ensemble learning182 cited
  • 2019Integration of unsupervised and supervised machine learning algorithms for credit risk assessment176 cited
  • 2018A novel multi-stage hybrid model with enhanced multi-population niche genetic algorithm: An application in credit scoring

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139 cited
  • 2022Assessing credit risk of commercial customers using hybrid machine learning algorithms130 cited
  • 2009Managing Dynamics in a Customer Portfolio127 cited
  • Cited by

    • 2024How can Artificial Intelligence (AI) be used to manage Customer Lifetime Value (CLV)—A systematic literature review21 cited
    • 2024How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review20 cited
    • 2025A path from multichannel customer data to real-time personalization: Predicting customers’ psychological traits through machine learning12 cited