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Prediction of Churn Behaviour of Bank Customers Using Data Mining Tools
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Prediction of Churn Behaviour of Bank Customers Using Data Mining Tools (2012)Prediction of Churn Behaviour of Bank Cus…Mastering Data Mining: The Art and Science of Customer Relationship Management (2000)Mastering Data Mining: The Ar…Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Customer Satisfaction Cues To…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…Churn Prediction for Savings Bank Customers: A Machine Learning Approach (2020)Churn Prediction for Savings …Financial Sector-Based Analysis of the G20 Economies Using the Integrated Decision-Making Approach with DEMATEL and TOPSIS (2018)Financial Sector-Based Analys…Customer churn prediction model using data mining techniques (2017)Customer churn prediction mod…Data Mining as a tool to Predict the Churn Behaviour among Indian bank customers (2013)Data Mining as a tool to Pred…Combining Customer Attribute and Social Network Mining for Prepaid Mobile Churn Prediction (2013)Combining Customer Attribute …Significance tests and goodness of fit in the analysis of covariance structures. (1980)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Customer satisfaction and retention: the experiences of individual employees (2004)The relationships among perceived quality, perceived risk and perceived product value (2004)Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan (2008)Spreading activation models for trust propagation (2004)Social ties and their relevance to churn in mobile telecom networks (2008)Churn Prediction in MMORPGs: A Social Influence Based Approach (2009)Enhancing Telco Service Quality with Big Data Enabled Churn Analysis: Infrastructure, Model, and Deployment (2015)Data warehouse based analysis on CDR to retain and acquire customers by targeted marketing (2016)Churn Prediction Using Dynamic RFM-Augmented Node2vec (2017)Customer churn analysis - a case study (2006)Data Mining Techniques in CRM: Inside Customer Segmentation (2010)Improvised_XgBoost Machine learning Algorithm for Customer Churn Prediction (2020)Customer Churn Prediction Using Machine Learning (2023)A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2011)A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2013)Customer Churn Prediction in Telecommunications Industry Based on Data Mining (2021)Customer Decision Prediction Using Deep Neural Network on Telco Customer Churn Data (2021)Predicting Customer Churn on OTT Platforms (2022)Methods for Multiple Attribute Decision Making (1981)Multiple Attribute Decision Making: Methods and Applications (1981)Cross-country variation in household access to financial services (2008)Analysis of balanced scorecard-based SERVQUAL criteria based on hesitant decision-making approaches (2019)Balanced scorecard-based analysis of investment decisions for the renewable energy alternatives: A comparative analysis based on the hybrid fuzzy decision-making approach (2019)IT2 Hybrid Decision-Making Approach to Performance Measurement of Internationalized Firms in the Baltic States (2019)Measurement of Inequality of Incomes (1921)Handling class imbalance in customer churn prediction (2008)Marketing metrics: the definitive guide to measuring marketing performance (2010)Adaptive XGBOOST Hyper Tuned Meta Classifier for Prediction of Churn Customers (2022)Enhancing Customer Churn Prediction in Digital Banking using Ensemble Modeling (2022)Optimized churn prediction using ensemble-based feature selection via second-order cone programming (2025)Turning telecommunications call details to churn prediction: a data mining approach (2002)Applying data mining to telecom churn management (2005)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Information Exposure, Opportunity Evaluation and Entrepreneurial Action: An Investigation of an Online User Community (2013)The big data divide (2014)Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance (2020)
this work references cited by second hop

References

  • 2000Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior629 cited
  • 1999Building Data Mining Applications for CRM599 cited
  • 2000Mastering Data Mining: The Art and Science of Customer Relationship Management470 cited

Cited by

  • 2018Financial Sector-Based Analysis of the G20 Economies Using the Integrated Decision-Making Approach with DEMATEL and TOPSIS71 cited
  • 2013Data Mining as a tool to Predict the Churn Behaviour among Indian bank customers21 cited
  • 2017Customer churn prediction model using data mining techniques20 cited
  • 2020Churn Prediction for Savings Bank Customers: A Machine Learning Approach20 cited
  • 2013Combining Customer Attribute and Social Network Mining for Prepaid Mobile Churn Prediction19 cited

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