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Direct marketing campaigns in retail banking with the use of deep learning and random forests
3 references·16 citing·49 second hop
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this work references cited by second hop

References

  • 1996The Value of Purchase History Data in Target Marketing754 cited
  • 2008Quantitative models for direct marketing: A review from systems perspective182 cited
  • 2003An intelligent system for customer targeting: a data mining approach160 cited

Cited by

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  • 2021Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning55 cited
  • 2021A dynamic ensemble selection method for bank telemarketing sales prediction42 cited
  • 2024Towards data and analytics driven B2B-banking for green finance: A cross-selling use case study38 cited
  • 2020Deep Learning and Implementations in Banking35 cited
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  • 2022Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment31 cited
  • 2021Customer Churn Prediction Using Deep Learning

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26 cited
  • 2022A Machine Learning Framework towards Bank Telemarketing Prediction25 cited
  • 2023Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks24 cited
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  • 2021What drives a donor? A machine learning‐based approach for predicting responses of nonprofit direct marketing campaigns12 cited