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Bank Marketing Data Mining using CRISP-DM Approach
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Bank Marketing Data Mining using CRISP-DM Approach (2019)Bank Marketing Data Mining using CRISP-DM…Using Data Mining Techniques for Detecting the Important Features of the Bank Direct Marketing Data (2017)Using Data Mining Techniques …Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Analysis of customer churn pr…Bank Direct Marketing Analysis of Data Mining Techniques (2014)Bank Direct Marketing Analysi…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…On Data Mining for Direct Marketing (2007)On Data Mining for Direct Mar…Employee Performance Prediction using Naïve Bayes (2019)Employee Performance Predicti…Market Segmentation: Conceptual and Methodological Foundations (1997)Data mining for direct marketing: problems and solutions (1998)Data Mining For Customer Relationship Management (2011)A Data Mining-Based Response Model for Target Selection in Direct Marketing (2012)Improving the performance of direct advertising campaigns by applying artificial intelligence techniques (2025)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)Database marketing:Past, present, and future (1997)Advertising and integrated brand promotion (2009)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)Telecommunication subscribers' churn prediction model using machine learning (2013)A review and analysis of churn prediction methods for customer retention in telecom industries (2017)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)Machine learning based customer churn prediction in home appliance rental business (2023)Management’s Perception of Key Performance Indicators for Construction (2003)Does Turnover Intention Matter? Evaluating the Usefulness of Turnover Intention Rate as a Predictor of Actual Turnover Rate (2015)One hundred years of employee turnover theory and research. (2017)RanKer: An AI-Based Employee-Performance Classification Scheme to Rank and Identify Low Performers (2022)Employees’ perceptions of the fairness of AI-based performance prediction features (2025)Optimizing the prediction of telemarketing target calls by a classification technique (2018)A data modeling approach for classification problems (2019)A decision support system based on machined learned Bayesian network for predicting successful direct sales marketing (2021)Bank direct marketing analysis of asymmetric information based on machine learning (2015)KFCM-Based Direct Marketing (2020)
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References

  • 2011Using data mining for bank direct marketing: an application of the CRISP-DM methodology208 cited
  • 2016Analysis of customer churn prediction in telecom industry using decision trees and logistic regression101 cited
  • 2014Bank Direct Marketing Analysis of Data Mining Techniques80 cited
  • 2007On Data Mining for Direct Marketing32 cited
  • 2017Using Data Mining Techniques for Detecting the Important Features of the Bank Direct Marketing Data23 cited
  • 2013Bank Direct Marketing Based on Neural Network19 cited

Cited by

  • 2019Employee Performance Prediction using Naïve Bayes25 cited

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