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Bank direct marketing analysis of asymmetric information based on machine learning
3 references·2 citing·22 second hop
Bank direct marketing analysis of asymmetric information based on machine learning (2015)Bank direct marketing analysis of asymmet…A data-driven approach to predict the success of bank telemarketing (2014)A data-driven approach to pre…Bank Direct Marketing Based on Neural Network (2013)Bank Direct Marketing Based o…Using data mining for bank direct marketing: an application of the CRISP-DM methodology (2011)Using data mining for bank di…Optimal feature selection and hybrid deep learning for direct marketing campaigns in banking applications (2021)Optimal feature selection and…Improving the Accuracy of Predicting Bank Depositor’s Behavior Using a Decision Tree (2021)Improving the Accuracy of Pre…Data mining for direct marketing: problems and solutions (1998)Decision Support and Business Intelligence Systems (8th Edition) (2006)An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour (2015)Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research (2016)Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification (2018)A framework for marketing management (2000)Decision Support and Business Intelligence Systems (2006)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)A Review on Fairness in Machine Learning (2022)The effects of data quality on machine learning performance on tabular data (2025)A Strategic Framework for Customer Relationship Management (2005)Quantitative models for direct marketing: A review from systems perspective (2008)Modelling and Investigating the relationship of after sales service quality with customer satisfaction, retention and loyalty – A case study of home appliances business (2016)Customer feature selection from high-dimensional bank direct marketing data for uplift modeling (2022)Improving the performance of direct advertising campaigns by applying artificial intelligence techniques (2025)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector (2023)Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning (2024)Predictive Modeling of Customer Response to Marketing Campaigns (2024)A data modeling approach for classification problems (2019)Bank Marketing Data Mining using CRISP-DM Approach (2019)KFCM-Based Direct Marketing (2020)
this work references cited by second hop

References

  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 2011Using data mining for bank direct marketing: an application of the CRISP-DM methodology208 cited
  • 2013Bank Direct Marketing Based on Neural Network19 cited

Cited by

  • 2021Improving the Accuracy of Predicting Bank Depositor’s Behavior Using a Decision Tree16 cited
  • 2021Optimal feature selection and hybrid deep learning for direct marketing campaigns in banking applications11 cited

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