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Credit card customer churn prediction based on the RST and LS-SVM
5 references·1 citing·31 second hop
Credit card customer churn prediction based on the RST and LS-SVM (2009)Credit card customer churn prediction bas…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…A framework for benchmarking service process using data envelopment analysis and decision tree (2006)A framework for benchmarking …Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Determinants of subscriber ch…Data Mining Techniques on the Evaluation of Wireless Churn (2004)Data Mining Techniques on the…Neural networks and the multinomial logit for brand choice modelling: a hybrid approach (2000)Neural networks and the multi…Enhancing Bank Consumer Retention: A Comprehensive Analysis of Churn Prediction Using Machine-Learning and Deep Learning Techniques (2024)Enhancing Bank Consumer Reten…Conditional logit analysis of qualitative choice behavior (1972)A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Discrete Choice Analysis (1985)The interactive effects of online reviews on the determinants of Swiss hotel performance: A neural network analysis (2015)Video mining: Measuring visual information using automatic methods (2019)Enhancing discrete choice models with representation learning (2020)Measuring the efficiency of decision making units (1978)Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis (1984)Reengineering the corporation: A manifesto for business revolution (1993)Analysis of overall technical efficiency, pure technical efficiency and scale efficiency in the medium-sized audit firms (2009)Using data envelopment analysis and decision trees for efficiency analysis and recommendation of B2C controls (2010)Designing a knowledge-based system for benchmarking: A DEA approach (2011)Zero defections: quality comes to services. (1990)A National Customer Satisfaction Barometer: The Swedish Experience (1992)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Variable selection by association rules for customer churn prediction of multimedia on demand (2009)How value and trust influence loyalty in wireless telecommunications industry (2012)Improved churn prediction in telecommunication industry using data mining techniques (2014)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)The relationships of customer satisfaction, customer loyalty, and profitability: an empirical study (1996)M‐loyalty: winning strategies for mobile carriers (2006)Determinants of customer loyalty in the wireless telecommunications industry (2007)Customer engagement, buyer‐seller relationships, and social media (2012)A comparative study of customer churn prediction in telecom industry using ensemble based classifiers (2017)Research on a Customer Churn Combination Prediction Model Based on Decision Tree and Neural Network (2020)Mastering Data Mining: The Art and Science of Customer Relationship Management (2000)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Churn in Social Networks (2010)User Behavior Modelling Approach for Churn Prediction in Online Games (2012)Predict employee attrition by using predictive analytics (2018)
this work references cited by second hop

References

  • 2004Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market417 cited
  • 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry325 cited
  • 2000Neural networks and the multinomial logit for brand choice modelling: a hybrid approach123 cited
  • 2006A framework for benchmarking service process using data envelopment analysis and decision tree68 cited
  • 2004Data Mining Techniques on the Evaluation of Wireless Churn56 cited

Cited by

  • 2024Enhancing Bank Consumer Retention: A Comprehensive Analysis of Churn Prediction Using Machine-Learning and Deep Learning Techniques8 cited

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