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Improving the Accuracy of Predicting Bank Depositor’s Behavior Using a Decision Tree
11 references·4 citing·42 second hop
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References

  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
  • 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
  • 2012Data Mining and Its Applications for Knowledge Management : A Literature Review from 2007 to 2012124 cited
  • 2015An Efficient CRM-Data Mining Framework for the Prediction of Customer Behaviour118 cited
  • 2018Mutual information and sensitivity analysis for feature selection in customer targeting: A comparative study55 cited
  • 2020Business Analytics in Telemarketing: Cost-Sensitive Analysis of Bank Campaigns Using Artificial Neural Networks51 cited
  • 2014Feature selection with data balancing for prediction of bank telemarketing32 cited
  • 2017Data Mining Approach for Direct Marketing of Banking Products with Profit/Cost Analysis24 cited
  • 2017A two‐step system for direct bank telemarketing outcome classification22 cited
  • 2015Bank direct marketing analysis of asymmetric information based on machine learning16 cited

Cited by

  • 2023Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector18 cited
  • 2024Predictive Modeling of Customer Response to Marketing Campaigns11 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2024Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning10 cited
  • 2023Modeling the Telemarketing Process Using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach8 cited