SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Machine Learning Based Telecom-Customer Churn Prediction
5 references·2 citing·31 second hop
Machine Learning Based Telecom-Customer Churn Prediction (2020)Machine Learning Based Telecom-Customer C…Research on a Customer Churn Combination Prediction Model Based on Decision Tree and Neural Network (2020)Research on a Customer Churn …Implementing Extreme Gradient Boosting (XGBoost) Classifier to Improve Customer Churn Prediction (2020)Implementing Extreme Gradient…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…A comparative study of customer churn prediction in telecom industry using ensemble based classifiers (2017)A comparative study of custom…Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty (2015)Behavioral Modeling for Churn…Predicting Customer Churn In Telecom Industry: A Machine Learning Approach For Improving Customer Retention (2023)Predicting Customer Churn In …“Churn Prediction in Telecommunication Industry” (2023)“Churn Prediction in Telecomm…Customer lifetime value research in marketing: A review and future directions (2002)Customer Metrics and Their Impact on Financial Performance (2006)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Users on the Move: On Relationships Between QoE Ratings, Data Volumes and Intentions to Churn (2017)Notice of Removal: ChOracle: A Unified Statistical Framework for Churn Prediction (2020)Customer determinants of used auto loan churn: comparing predictive performance using machine learning techniques (2021)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)A novel evolutionary data mining algorithm with applications to churn prediction (2003)A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (2022)ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry (2024)Enhancing customer retention in telecom industry with machine learning driven churn prediction (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)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)Predicting customer churn through interpersonal influence (2011)Modeling partial customer churn: On the value of first product-category purchase sequences (2012)An Intelligent Hybrid Scheme for Customer Churn Prediction Integrating Clustering and Classification Algorithms (2022)Churn prediction in telecommunication industry using kernel Support Vector Machines (2022)Customer churn prediction in imbalanced datasets with resampling methods: A comparative study (2024)Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction system: a machine learning approach (2021)A Novel Approach for Churn Prediction Using Deep Learning (2017)Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction (2023)Penerapan Metode Extreme Gradient Boosting (XGBOOST) pada Klasifikasi Nasabah Kartu Kredit (2022)A classification application for using learning methods in bank costumer's portfolio churn (2023)Bank Customer Churn Prediction Using Machine Learning Framework (2024)
this work references cited by second hop

References

  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2017A comparative study of customer churn prediction in telecom industry using ensemble based classifiers70 cited
  • 2020Research on a Customer Churn Combination Prediction Model Based on Decision Tree and Neural Network51 cited
  • 2015Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty35 cited
  • 2020Implementing Extreme Gradient Boosting (XGBoost) Classifier to Improve Customer Churn Prediction33 cited

Cited by

  • 2023“Churn Prediction in Telecommunication Industry”11 cited
  • 2023Predicting Customer Churn In Telecom Industry: A Machine Learning Approach For Improving Customer Retention9 cited

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