SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry
6 references·14 citing·48 second hop
Customer Churn Analysis and Prediction Using Data Mining Models in Banking Industry (2019)Customer Churn Analysis and Prediction Us…A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…Designing of customer and employee churn prediction model based on data mining method and neural predictor (2017)Designing of customer and emp…Predicting Customer Churn in Banking Industry using Neural Networks (2016)Predicting Customer Churn in …Developing a prediction model for customer churn from electronic banking services using data mining (2016)Developing a prediction model…A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Decision support systems and intelligent systems (1997)Decision support systems and …ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering (2025)ChurnKB: A Generative AI-Enri…A comprehensive survey on customer churn analysis studies (2025)A comprehensive survey on cus…Improving Churn Detection in the Banking Sector: A Machine Learning Approach with Probability Calibration Techniques (2024)Improving Churn Detection in …Deep Dive Into Churn Prediction in the Banking Sector: The Challenge of Hyperparameter Selection and Imbalanced Learning (2024)Deep Dive Into Churn Predicti…PSO-SVM Based Algorithm for Customer Churn Prediction in the Banking Industry (2023)PSO-SVM Based Algorithm for C…Modelling bank customer behaviour using feature engineering and classification techniques (2023)Modelling bank customer behav…Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction (2023)Arithmetic Optimization With …Predicting customers churning in banking industry: A machine learning approach (2022)Predicting customers churning…Performance Analysis of Different Machine Learning in Customer Prediction (2022)Performance Analysis of Diffe…Customer Churn Prediction in the Iranian Banking Sector (2022)Customer Churn Prediction in …An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers (2022)An Ensemble Model for Predict…Enhanced Churn Prediction Model with Boosted Trees Algorithms in The Banking Sector (2021)Enhanced Churn Prediction Mod…An Enhanced Bank Customers Churn Prediction Model Using A Hybrid Genetic Algorithm And K-Means Filter And Artificial Neural Network (2021)An Enhanced Bank Customers Ch…Customer Churn Analysis and Prediction in Banking Industry using Machine Learning (2020)Customer Churn Analysis and P…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Turning telecommunications call details to churn prediction: a data mining approach (2002)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Customer churn prediction in the telecommunication sector using a rough set approach (2016)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Customer churn prediction system: a machine learning approach (2021)Bankruptcy prediction using neural networks (1994)Applying data mining to telecom churn management (2005)Methodologies for data quality assessment and improvement (2009)Customer churn analysis in banking sector: Evidence from explainable machine learning models (2021)Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector (2021)Towards Explainable Machine Learning for Bank Churn Prediction Using Data Balancing and Ensemble-Based Methods (2022)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)An improved method to construct basic probability assignment based on the confusion matrix for classification problem (2016)Leveraging unstructured call log data for customer churn prediction (2020)Machine Learning to Develop Credit Card Customer Churn Prediction (2022)Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction (2023)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)Credit Scoring and Its Applications (2002)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2020)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)Application of Artificial Intelligence in Indian Banks (2021)Interpretable Machine Learning for Predicting Customer Churn in Retail Banking (2023)Applications of Artificial Intelligence for Optimizing Banking and Financial Operations: A Systematic Literature Review and Future Research Agenda (2025)Customer churn prediction using improved balanced random forests (2008)Credit card churn forecasting by logistic regression and decision tree (2011)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer Churn Prevention For E-commerce Platforms using Machine Learning-based Business Intelligence (2023)A Two-Stage Ensemble Approach for Analysis of Optimizing Customer Churn with Lime Interpretability (2024)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Deep learning-based feature engineering for stock price movement prediction (2018)Gold volatility prediction using a CNN-LSTM approach (2020)Modeling online customer purchase intention behavior applying different feature engineering and classification techniques (2023)Volatility spillovers and other dynamics between cryptocurrencies and the energy and bond markets (2023)Revolutionizing Banking Decision-Making: A Deep Learning Approach to Predicting Customer Behavior (2024)Why share knowledge? The influence of ICT on the motivation for knowledge sharing (1999)The Anatomy of a Design Theory (2007)Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research (2008)Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries (2023)
this work references cited by second hop

References

  • 1997Decision support systems and intelligent systems2,452 cited
  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2016Developing a prediction model for customer churn from electronic banking services using data mining116 cited
  • 2016Predicting Customer Churn in Banking Industry using Neural Networks78 cited
  • 2017Designing of customer and employee churn prediction model based on data mining method and neural predictor61 cited

Cited by

  • 2023Modelling bank customer behaviour using feature engineering and classification techniques48 cited
  • 2023Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction45 cited
  • 2020Customer Churn Analysis and Prediction in Banking Industry using Machine Learning38 cited
  • 2022Predicting customers churning in banking industry: A machine learning approach38 cited
  • 2024Improving Churn Detection in the Banking Sector: A Machine Learning Approach with Probability Calibration Techniques27 cited
  • 2022An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers26 cited
  • 2022Performance Analysis of Different Machine Learning in Customer Prediction20 cited

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

  • 2025A comprehensive survey on customer churn analysis studies15 cited
  • 2023PSO-SVM Based Algorithm for Customer Churn Prediction in the Banking Industry14 cited
  • 2024Deep Dive Into Churn Prediction in the Banking Sector: The Challenge of Hyperparameter Selection and Imbalanced Learning13 cited
  • 2025ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering13 cited
  • 2021Enhanced Churn Prediction Model with Boosted Trees Algorithms in The Banking Sector12 cited
  • 2022Customer Churn Prediction in the Iranian Banking Sector12 cited
  • 2021An Enhanced Bank Customers Churn Prediction Model Using A Hybrid Genetic Algorithm And K-Means Filter And Artificial Neural Network11 cited