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Applying Machine Learning to the Development of Prediction Models for Bank Deposit Subscription
3 references·1 citing·14 second hop
Applying Machine Learning to the Development of Prediction Models for Bank Deposit Subscription (2021)Applying Machine Learning to the Developm…Bank Direct Marketing Analysis of Data Mining Techniques (2014)Bank Direct Marketing Analysi…A data-driven approach to predict the success of bank telemarketing (2014)A data-driven approach to pre…Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2005)Sensitivity Analysis in Pract…Prediction of Term Deposit in Bank: Using Logistic Model (2022)Prediction of Term Deposit in…Database marketing:Past, present, and future (1997)Advertising and integrated brand promotion (2009)Using data mining for bank direct marketing: an application of the CRISP-DM methodology (2011)Data Mining Approach for Direct Marketing of Banking Products with Profit/Cost Analysis (2017)Predicting customer response to bank direct telemarketing campaign (2017)A Machine Learning Framework towards Bank Telemarketing Prediction (2022)A framework for marketing management (2000)Decision Support and Business Intelligence Systems (2006)Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)A Review on Fairness in Machine Learning (2022)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)
this work references cited by second hop

References

  • 2005Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models1,843 cited
  • 2014A data-driven approach to predict the success of bank telemarketing875 cited
  • 2014Bank Direct Marketing Analysis of Data Mining Techniques80 cited

Cited by

  • 2022Prediction of Term Deposit in Bank: Using Logistic Model5 cited

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