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Improvised_XgBoost Machine learning Algorithm for Customer Churn Prediction
16 references·1 citing·41 second hop
Improvised_XgBoost Machine learning Algorithm for Customer Churn Prediction (2020)Improvised_XgBoost Machine learning Algor…A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)A Churn Prediction Model Usin…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing (2017)An efficient system for custo…Methods for churn prediction in the pre-paid mobile telecommunications industry (2016)Methods for churn prediction …Telco Churn Prediction with Big Data (2015)Telco Churn Prediction with B…An effective hybrid learning system for telecommunication churn prediction (2013)An effective hybrid learning …Applications of Data Mining Techniques in Telecom Churn Prediction (2012)Applications of Data Mining T…Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)Understanding Big Data: Analy…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…A new feature set with new window techniques for customer churn prediction in land-line telecommunications (2009)A new feature set with new wi…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services (2008)Genetic algorithm based neura…Applying data mining to telecom churn management (2005)Applying data mining to telec…Marketing management: analysis. planning. implementation and control (2000)Marketing management: analysi…Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature (2024)Factors, Predictability, and …Turning telecommunications call details to churn prediction: a data mining approach (2002)Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Predicting customer churn from valuable B2B customers in the logistics industry: a case study (2014)Assessment of lean manufacturing effect on business performance using Bayesian Belief Networks (2015)Intelligent data analysis approaches to churn as a business problem: a survey (2016)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)An evolutionary multi-objective optimization approach to disaster waste management: A case study of Istanbul, Turkey (2015)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The Customer Relationship Management Process: Its Measurement and Impact on Performance (2004)A Strategic Framework for Customer Relationship Management (2005)Managing B2B customer churn, retention and profitability (2014)Social network analytics for churn prediction in telco: Model building, evaluation and network architecture (2017)A Survey on Churn Analysis in Various Business Domains (2020)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)Marketing analytics: Methods, practice, implementation, and links to other fields (2018)Leveraging unstructured call log data for customer churn prediction (2020)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Modeling Customer Lifetime Value (2006)Evaluating multiple classifiers for stock price direction prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)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)Building Data Mining Applications for CRM (1999)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A survey of results on mobile phone datasets analysis (2015)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (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)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Zero defections: quality comes to services. (1990)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods (2020)Big data: A review (2013)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Big Data technologies: A survey (2017)Conceptualizing, Measuring, and Managing Customer-Based Brand Equity (1993)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)Evolving to a New Dominant Logic for Marketing (2003)
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References

  • 2000Marketing management: analysis. planning. implementation and control6,649 cited
  • 2011Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data1,467 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2009Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications160 cited
  • 2011An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction132 cited
  • 2015Telco Churn Prediction with Big Data130 cited
  • 2010Applying Bayesian Belief Network approach to customer churn analysis: A case study on the telecom industry of Turkey124 cited
  • 2008Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services117 cited
  • 2013An effective hybrid learning system for telecommunication churn prediction90 cited
  • 2016Methods for churn prediction in the pre-paid mobile telecommunications industry70 cited
  • 2009A new feature set with new window techniques for customer churn prediction in land-line telecommunications

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64 cited
  • 2017An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing63 cited
  • 2012Applications of Data Mining Techniques in Telecom Churn Prediction55 cited
  • Cited by

    • 2024Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature9 cited