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Customer Churn Prediction in Telecommunication Industry Using Data Certainty
9 references·1 citing·48 second hop
Customer Churn Prediction in Telecommunication Industry Using Data Certainty (2020)Customer Churn Prediction in Telecommunic…Features Weight Estimation Using a Genetic Algorithm for Customer Churn Prediction in the Telecom Sector (2019)Features Weight Estimation Us…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 Modelling Based on Behavioural Patterns Analysis using Deep Learning (2018)Customer Churn Prediction Mod…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …Customer Churn Prediction in Mobile Networks using Logistic Regression and Multilayer Perceptron(MLP) (2018)Customer Churn Prediction in …A Multi-Layer Perceptron Approach for Customer Churn Prediction (2015)A Multi-Layer Perceptron Appr…Improved churn prediction in telecommunication industry using data mining techniques (2014)Improved churn prediction in …CHURN PREDICTION IN THE TELECOMMUNICATIONS SECTOR USING SUPPORT VECTOR MACHINES (2013)CHURN PREDICTION IN THE TELEC…Customer churn prediction in telecommunications (2011)Customer churn prediction in …Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company (2021)Predicting Customer Churn usi…Experiments in induction (1966)Experiments in Induction (1967)Applying data mining to telecom churn management (2005)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)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)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Knowledge management and data mining for marketing (2001)Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Churn prediction in telecommunication industry using kernel Support Vector Machines (2022)Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university (2023)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)Handling class imbalance in customer churn prediction (2008)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)A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)Customer churn analysis in telecom industry (2015)A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic (2020)Deep Learning as a Vector Embedding Model for Customer Churn (2021)Intelligent Decision Forest Models for Customer Churn Prediction (2022)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2013)Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry (2018)A Statistical Analysis of Factors Affecting Higher Education Dropouts (2019)Applying over 100 classifiers for churn prediction in telecom companies (2020)Improved churn prediction in telecommunication industry by analyzing a large network (2014)Customer churn prediction in the telecommunication sector using a rough set approach (2016)How smartphone advertising influences consumers' purchase intention (2018)Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization (2019)A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry (2024)Zero defections: quality comes to services. (1990)Marketing management: analysis. planning. implementation and control (2000)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)Understanding customer relationship management (CRM) (2003)Customer churn prediction in telecom using machine learning in big data platform (2019)On world development indicators (2021)Comparison of Principal Component Analysis and Recursive Feature Elimination with Cross-Validation Feature Selection Algorithms for Customer Churn Prediction (2023)Customer Churn Prediction Using Weight Average Ensemble Machine Learning Model (2023)Predicting Banking Customer Churn based on Artificial Neural Network (2022)Prediction of customer churn using resampling and ensemble classification algorithms on telecom dataset (2023)Customer churn analysis using feature optimization methods and tree-based classifiers (2024)
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References

  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2011Customer churn prediction in telecommunications344 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2015A Multi-Layer Perceptron Approach for Customer Churn Prediction62 cited
  • 2013CHURN PREDICTION IN THE TELECOMMUNICATIONS SECTOR USING SUPPORT VECTOR MACHINES60 cited
  • 2018Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning59 cited
  • 2019Features Weight Estimation Using a Genetic Algorithm for Customer Churn Prediction in the Telecom Sector25 cited
  • 2018Customer Churn Prediction in Mobile Networks using Logistic Regression and Multilayer Perceptron(MLP)23 cited

Cited by

  • 2021Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company12 cited

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