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A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services
10 references·16 citing·40 second hop
A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2013)A Neural Network based Approach for Predi…CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)CRM at a pay-TV company: Usin…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…Applying data mining to telecom churn management (2005)Applying data mining to telec…Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Determinants of subscriber ch…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Customer attrition analysis for financial services using proportional hazard models (2003)Customer attrition analysis f…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Bayesian neural network learning for repeat purchase modelling in direct marketing (2002)Bayesian neural network learn…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Customer Switching Behavior i…Customer churning analysis using machine learning algorithms (2023)Customer churning analysis us…An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)An adaptive learning approach…Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)Impact of Hyperparameters on …Artificial Intelligence Based Customer Churn Prediction Model for Business Markets (2022)Artificial Intelligence Based…Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping (2021)Telecom Churn Prediction Syst…Giant fight: Customer churn prediction in traditional broadcast industry (2021)Giant fight: Customer churn p…Deep Learning for Customer Churn Prediction in E-Commerce Decision Support (2021)Deep Learning for Customer Ch…Telecom churn prediction and used techniques, datasets and performance measures: a review (2020)Telecom churn prediction and …A big data analytics model for customer churn prediction in the retiree segment (2018)A big data analytics model fo…A review and analysis of churn prediction methods for customer retention in telecom industries (2017)A review and analysis of chur…Developing a prediction model for customer churn from electronic banking services using data mining (2016)Developing a prediction model…Hybrid Data Mining Models for Predicting Customer Churn (2015)Hybrid Data Mining Models for…A Multi-Layer Perceptron Approach for Customer Churn Prediction (2015)A Multi-Layer Perceptron Appr…Churn Prediction in Telecommunication Industry Using Rough Set Approach (2014)Churn Prediction in Telecommu…Churn prediction for high-value players in casual social games (2014)Churn prediction for high-val…Customer Churn Prediction in Telecommunication A Decade Review and Classification (2013)Customer Churn Prediction in …A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing (1998)Switching barriers and repurchase intentions in services (2000)Customer churn prediction using improved balanced random forests (2008)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Customer churn prediction in telecommunications (2011)Marketing Research: Methodological Foundations (1977)Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. 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this work references cited by second hop

References

  • 1995Customer Switching Behavior in Service Industries: An Exploratory Study2,903 cited
  • 1999Building Data Mining Applications for CRM599 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2003Customer attrition analysis for financial services using proportional hazard models430 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2004Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market417 cited
  • 2006CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services241 cited
  • 2002Bayesian neural network learning for repeat purchase modelling in direct marketing218 cited

Cited by

  • 2014Churn prediction for high-value players in casual social games147 cited
  • 2018A big data analytics model for customer churn prediction in the retiree segment125 cited
  • 2016Developing a prediction model for customer churn from electronic banking services using data mining116 cited

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

2023
Customer churning analysis using machine learning algorithms
95 cited
  • 2021Telecom Churn Prediction System Based on Ensemble Learning Using Feature Grouping76 cited
  • 2023An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes76 cited
  • 2015A Multi-Layer Perceptron Approach for Customer Churn Prediction62 cited
  • 2020Telecom churn prediction and used techniques, datasets and performance measures: a review54 cited
  • 2017A review and analysis of churn prediction methods for customer retention in telecom industries53 cited
  • 2022Artificial Intelligence Based Customer Churn Prediction Model for Business Markets51 cited
  • 2022Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector48 cited
  • 2014Churn Prediction in Telecommunication Industry Using Rough Set Approach48 cited
  • 2015Hybrid Data Mining Models for Predicting Customer Churn46 cited
  • 2021Deep Learning for Customer Churn Prediction in E-Commerce Decision Support42 cited
  • 2021Giant fight: Customer churn prediction in traditional broadcast industry41 cited
  • 2013Customer Churn Prediction in Telecommunication A Decade Review and Classification40 cited