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An Optical Ensemle Classification for Predicting Churn in Telecommunication
16 references·0 citing·45 second hopsampled
An Optical Ensemle Classification for Predicting Churn in Telecommunication (2020)An Optical Ensemle Classification for Pre…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)An empirical comparison of te…A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)A Big Data Clustering Algorit…A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Improved churn prediction in telecommunication industry using data mining techniques (2014)Improved churn prediction in …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…A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data (2012)A hierarchical multiple kerne…A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)A Customer Churn Prediction M…An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction (2011)An empirical evaluation of ro…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…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 …Toward a hybrid data mining model for customer retention (2006)Toward a hybrid data mining m…Applying data mining to telecom churn management (2005)Applying data mining to telec…Experiments in induction (1966)Experiments in Induction (1967)A Data Mining-Based Framework for Supply Chain Risk Management (2018)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Predicting Employee Attrition Using Machine Learning Techniques (2020)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)Turning telecommunications call details to churn prediction: a data mining approach (2002)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Preference 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Cost‐Sensitive Learning for Bankruptcy Prediction (2019)Explaining and predicting employees’ attrition: a machine learning approach (2020)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Credit Scoring and Its Applications (2002)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2020)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry (2019)Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)
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References

  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2012A Customer Churn Prediction Model in Telecom Industry Using Boosting185 cited
  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2017An empirical comparison of techniques for the class imbalance problem in churn prediction161 cited
  • 2009Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications160 cited
  • 2012A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data146 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
  • 2010

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Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey
124 cited
  • 2006Toward a hybrid data mining model for customer retention120 cited
  • 2016A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn118 cited
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