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A Machine Learning Model for Customer Churn Prediction using CatBoost Classifier
11 references·1 citing·49 second hopsampled
A Machine Learning Model for Customer Churn Prediction using CatBoost Classifier (2023)A Machine Learning Model for Customer Chu…Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)Integrated Churn Prediction a…Notice of Removal: ChOracle: A Unified Statistical Framework for Churn Prediction (2020)Notice of Removal: ChOracle: …Extended RFM logit model for churn prediction in the mobile gaming market (2020)Extended RFM logit model for …Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)Churn Prediction in Telecommu…A Survey on Churn Analysis in Various Business Domains (2020)A Survey on Churn Analysis in…Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry (2019)Transfer Learning and Meta Cl…Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Incorporating textual informa…Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …Churn Prediction using Neural Network based Individual and Ensemble Models (2019)Churn Prediction using Neural…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…Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies (2018)Big data and business analyti…Early churn prediction in freemium game mobile using Transformer-based architecture for tabular data (2024)Early churn prediction in fre…Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big Data : The Management Revolution (2013)Big data analytics and firm performance: Effects of dynamic capabilities (2016)Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation (2020)The role of digital innovation in knowledge management systems: A systematic literature review (2020)Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model (2021)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Handling class imbalance in customer churn prediction (2008)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Optimum profit-driven churn decision making: innovative artificial neural networks in telecom industry (2020)Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment (2022)Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction (2023)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Hybrid Artificial Neural Networks Using Customer Churn Prediction (2021)Intelligent Decision Forest Models for Customer Churn Prediction (2022)Predictive Modeling of Employee Churn Analysis for IoT-Enabled Software Industry (2022)Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Turning telecommunications call details to churn prediction: a data mining approach (2002)Customer churn prediction system: a machine learning approach (2021)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (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)Big data: the management revolution. (2012)Beyond the hype: Big data concepts, methods, and analytics (2014)Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach (2022)Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models (2024)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)A Counterfactual Modeling Framework for Churn Prediction (2022)Intensified Customer Churn Prediction: Connectivity with Weighted Multi-Layer Perceptron and Enhanced Multipath Back Propagation (2024)A comprehensive survey on customer churn analysis studies (2025)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Customer churn prediction in the telecommunication sector using a rough set approach (2016)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)Deep Churn Prediction Method for Telecommunication Industry (2023)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Loyalty Effect (2001)Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art (2023)Machine learning based customer churn prediction in home appliance rental business (2023)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)Applying data mining to telecom churn management (2005)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)Hyper-Personalization for Enhancing Customer Loyalty and Satisfaction in Customer Relationship Management (CRM) Systems (2023)
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References

  • 2019Customer churn prediction in telecom using machine learning in big data platform576 cited
  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector448 cited
  • 2018Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies426 cited
  • 2020Churn Prediction in Telecommunication using Logistic Regression and Logit Boost160 cited
  • 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network149 cited
  • 2021Integrated Churn Prediction and Customer Segmentation Framework for Telco Business141 cited
  • 2020A Survey on Churn Analysis in Various Business Domains109 cited
  • 2019Churn Prediction using Neural Network based Individual and Ensemble Models39 cited
  • 2019Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry39 cited
  • 2020Notice of Removal: ChOracle: A Unified Statistical Framework for Churn Prediction19 cited
  • 2020Extended RFM logit model for churn prediction in the mobile gaming market11 cited

Cited by

  • 2024Early churn prediction in freemium game mobile using Transformer-based architecture for tabular data5 cited

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