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Improving bank customer churn prediction with feature reduction using GA
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Improving bank customer churn prediction with feature reduction using GA (2025)Improving bank customer churn prediction …Propension to customer churn in a financial institution: a machine learning approach (2022)Propension to customer churn …Customer experience in digital banking: a review and future research directions (2022)Customer experience in digita…B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)B2C E-Commerce Customer Churn…An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers (2022)An Ensemble Model for Predict…Financial technology and the future of banking (2021)Financial technology and the …Customer churn analysis in banking sector: Evidence from explainable machine learning models (2021)Customer churn analysis in ba…Analysis and prediction of bank user churn based on ensemble learning algorithm (2021)Analysis and prediction of ba…Machine Learning Based Customer Churn Prediction In Banking (2020)Machine Learning Based Custom…Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry (2019)Customer Churn Analysis and P…Offering a hybrid approach of data mining to predict the customer churn based on bagging and boosting methods (2016)Offering a hybrid approach of…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Predicting credit card customer churn in banks using data mining (2008)Predicting credit card custom…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Bank Customer Churn Prediction Based on Support Vector Machine: Taking a Commercial Bank's VIP Customer Churn as the Example (2008)Bank Customer Churn Predictio…The effects of brand credibility on customer loyalty (2007)The effects of brand credibil…Constructing response model using ensemble based on feature subset selection (2005)Constructing response model u…Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Forecasting with artificial neural networks: (1998)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Customers churn prediction and marketing retention strategies. 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References

  • 2007The effects of brand credibility on customer loyalty429 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 2021Financial technology and the future of banking333 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2022Customer experience in digital banking: a review and future research directions185 cited
  • 2022B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM149 cited
  • 2008Predicting credit card customer churn in banks using data mining145 cited
  • 2020Machine Learning Based Customer Churn Prediction In Banking109 cited
  • 2022Propension to customer churn in a financial institution: a machine learning approach102 cited
  • 2019Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry50 cited
  • 2021Customer churn analysis in banking sector: Evidence from explainable machine learning models44 cited
  • 2016Offering a hybrid approach of data mining to predict the customer churn based on bagging and boosting methods33 cited
  • 2008Bank Customer Churn Prediction Based on Support Vector Machine: Taking a Commercial Bank's VIP Customer Churn as the Example31 cited
  • 2021Analysis and prediction of bank user churn based on ensemble learning algorithm28 cited

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  • 2005Constructing response model using ensemble based on feature subset selection28 cited
  • 2022An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers26 cited
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