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Customer Churn Prediction Using Improved One-Class Support Vector Machine
2 references·16 citing·51 second hop
Customer Churn Prediction Using Improved One-Class Support Vector Machine (2005)Customer Churn Prediction Using Improved …Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Defection Detection: Measurin…Support vector machine for regression and applications to financial forecasting (2000)Support vector machine for re…Propension to customer churn in a financial institution: a machine learning approach (2022)Propension to customer churn …Churn prediction in telecommunication industry using kernel Support Vector Machines (2022)Churn prediction in telecommu…Applying over 100 classifiers for churn prediction in telecom companies (2020)Applying over 100 classifiers…Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry (2018)Exploring nested ensemble lea…Improved credit card churn prediction based on rough clustering and supervised learning techniques (2017)Improved credit card churn pr…Particle classification optimization-based BP network for telecommunication customer churn prediction (2016)Particle classification optim…Intelligent data analysis approaches to churn as a business problem: a survey (2016)Intelligent data analysis app…Towards real-time customer experience prediction for telecommunication operators (2015)Towards real-time customer ex…Feature-selection-based dynamic transfer ensemble model for customer churn prediction (2014)Feature-selection-based dynam…Customer Churn Prediction in Telecommunication A Decade Review and Classification (2013)Customer Churn Prediction in …User Behavior Modelling Approach for Churn Prediction in Online Games (2012)User Behavior Modelling Appro…Churn Prediction in MMORPGs Using Player Motivation Theories and an Ensemble Approach (2011)Churn Prediction in MMORPGs U…Modeling customer churn in a non-contractual setting: the case of telecommunications service providers (2010)Modeling customer churn in a …An extended support vector machine forecasting framework for customer churn in e-commerce (2010)An extended support vector ma…Domain knowledge integration in data mining using decision tables: case studies in churn prediction (2009)Domain knowledge integration …A new feature set with new window techniques for customer churn prediction in land-line telecommunications (2009)A new feature set with new wi…Customer lifetime value research in marketing: A review and future directions (2002)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005)Improved churn prediction in telecommunication industry by analyzing a large network (2014)The value of vehicle telematics data in insurance risk selection processes (2017)Large-scale Ensemble Model for Customer Churn Prediction in Search Ads (2018)Turning telecommunications call details to churn prediction: a data mining approach (2002)Applying data mining to telecom churn management (2005)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)A Hybrid Churn Prediction Model in Mobile Telecommunication Industry (2013)Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling (2017)Effective ML Techniques to Predict Customer Churn (2021)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The magical number seven, plus or minus two: Some limits on our capacity for processing information. 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References

  • 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
  • 2000Support vector machine for regression and applications to financial forecasting326 cited

Cited by

  • 2022Propension to customer churn in a financial institution: a machine learning approach102 cited
  • 2010An extended support vector machine forecasting framework for customer churn in e-commerce98 cited
  • 2009Domain knowledge integration in data mining using decision tables: case studies in churn prediction84 cited
  • 2016Intelligent data analysis approaches to churn as a business problem: a survey74 cited
  • 2016Particle classification optimization-based BP network for telecommunication customer churn prediction65 cited
  • 2009A new feature set with new window techniques for customer churn prediction in land-line telecommunications64 cited
  • 2017Improved credit card churn prediction based on rough clustering and supervised learning techniques61 cited
  • 2011Churn Prediction in MMORPGs Using Player Motivation Theories and an Ensemble Approach58 cited
  • 2014Feature-selection-based dynamic transfer ensemble model for customer churn prediction52 cited
  • 2010Modeling customer churn in a non-contractual setting: the case of telecommunications service providers45 cited
  • 2013Customer Churn Prediction in Telecommunication A Decade Review and Classification

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40 cited
  • 2012User Behavior Modelling Approach for Churn Prediction in Online Games39 cited
  • 2020Applying over 100 classifiers for churn prediction in telecom companies39 cited
  • 2018Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry37 cited
  • 2015Towards real-time customer experience prediction for telecommunication operators37 cited
  • 2022Churn prediction in telecommunication industry using kernel Support Vector Machines37 cited