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Customer Churn Prediction in the Banking Sector Using Machine Learning-Based Classification Models
6 references·3 citing·36 second hop
Customer Churn Prediction in the Banking Sector Using Machine Learning-Based Classification Models (2023)Customer Churn Prediction in the Banking …B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)B2C E-Commerce Customer Churn…A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation (2022)A Data-Driven Approach to Imp…Maximizing Strategy Improvement in Mall Customer Segmentation using K-means Clustering (2021)Maximizing Strategy Improveme…Machine Learning Based Customer Churn Prediction In Banking (2020)Machine Learning Based Custom…Designing of customer and employee churn prediction model based on data mining method and neural predictor (2017)Designing of customer and emp…The loyalty effect: the hidden force behind growth, profits, and lasting value (1996)The loyalty effect: the hidde…Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data (2025)Ensemble-based customer churn…Predicting customer abandonment in recurrent neural networks using short-term memory (2024)Predicting customer abandonme…Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector (2023)Financial revolution: a syste…Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Handling class imbalance in customer churn prediction (2008)Employee churn prediction (2010)Early Prediction of Employee Attrition using Data Mining Techniques (2018)A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning (2020)A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review (2023)Integrating AHP and data mining for product recommendation based on customer lifetime value (2004)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Customer churn prediction in telecom using machine learning in big data platform (2019)Machine Learning to Develop Credit Card Customer Churn Prediction (2022)Another trip to the mall: a segmentation study of customers based on their activities (2004)Sources of customer satisfaction with shopping malls: A comparative study of different customer segments (2006)Reexamining the Market Share–Customer Satisfaction Relationship (2013)The Mediating Effect of Customer Satisfaction on Fintech Literacy and Sustainable Intention of Using Mobile Financial Services (2023)Personalized marketing: Leveraging AI for culturally aware segmentation and targeting (2025)The analysis of antecedents of customer loyalty in the Turkish mobile telecommunication market (2005)Latent Variable Models and Factor Analysis (2011)Intelligent Decision Forest Models for Customer Churn Prediction (2022)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)Why Satisfied Customers Defect (1995)Why Satisfied Customers Defect (1996)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Analysis of Unsupervised Machine Learning Techniques for an Efficient Customer Segmentation using Clustering Ensemble and Spectral Clustering (2022)Customer churn prediction model based on hybrid neural networks (2024)Enhancing customer retention in Online Retail through churn prediction: A hybrid RFM, K-means, and deep neural network approach (2025)Artificial Intelligence and Business Value: a Literature Review (2021)Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The role of artificial intelligence in mobile banking: decoding portuguese consumers’ perceptions and intentions to engage (2025)Turning telecommunications call details to churn prediction: a data mining approach (2002)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)Investigating customer churn in banking: a machine learning approach and visualization app for data science and management (2023)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)An Examination of the Determinants of Entertainment Vacationers’ Intentions to Revisit (2001)The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Business Performance (2006)Mine Your Own Business: Market-Structure Surveillance Through Text Mining (2012)
this work references cited by second hop

References

  • 1996The loyalty effect: the hidden force behind growth, profits, and lasting value526 cited
  • 2022B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM149 cited
  • 2020Machine Learning Based Customer Churn Prediction In Banking109 cited
  • 2022A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation65 cited
  • 2017Designing of customer and employee churn prediction model based on data mining method and neural predictor61 cited
  • 2021Maximizing Strategy Improvement in Mall Customer Segmentation using K-means Clustering57 cited

Cited by

  • 2025Ensemble-based customer churn prediction in banking: a voting classifier approach for improved client retention using demographic and behavioral data44 cited
  • 2023Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector18 cited
  • 2024Predicting customer abandonment in recurrent neural networks using short-term memory13 cited

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