SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Churn prediction methodologies in the telecommunications sector: A survey
16 references·0 citing·42 second hop
Churn prediction methodologies in the telecommunications sector: A survey (2013)Churn prediction methodologies in the tel…An effective hybrid learning system for telecommunication churn prediction (2013)An effective hybrid learning …Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies (2012)Churn prediction in telecom u…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Customer churn prediction in telecommunications (2011)Customer churn prediction in …An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction (2011)An empirical evaluation of ro…Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey (2010)Applying Bayesian Belief Netw…Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications (2009)Multi-objective feature selec…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Churn models for prepaid customers in the cellular telecommunication industry using large data marts (2009)Churn models for prepaid cust…Modeling churn using customer lifetime value (2008)Modeling churn using customer…Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services (2008)Genetic algorithm based neura…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…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…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Forecasting with artificial neural networks: (1998)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry (2016)Customer churn prediction in telecommunication industry using data certainty (2018)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Preference disaggregation and statistical learning for multicriteria decision support: A review (2010)Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining (2013)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Modeling Customer Lifetime Value (2006)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)Customer churn prediction system: a machine learning approach (2021)Building Data Mining Applications for CRM (1999)Knowledge management and data mining for marketing (2001)A comparison of machine learning techniques for customer churn prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Introduction to Time Series and Forecasting (2002)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data (2012)Managing Churn to Maximize Profits (2020)Zero defections: quality comes to services. (1990)A National Customer Satisfaction Barometer: The Swedish Experience (1992)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)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)A survey of results on mobile phone datasets analysis (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)
this work references cited by second hop

References

  • 2005Applying data mining to telecom churn management514 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2004Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market417 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 2011Customer churn prediction in telecommunications344 cited
  • 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry325 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2008Modeling churn using customer lifetime value187 cited
  • 2009Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications160 cited
  • 2012Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies138 cited
  • 2011An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction132 cited
  • 2010Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey124 cited
  • 2008

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

Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services
117 cited
  • 2009Churn models for prepaid customers in the cellular telecommunication industry using large data marts102 cited
  • 2013An effective hybrid learning system for telecommunication churn prediction90 cited
  • Cited by

    No citing works inside the corpus for this window.