SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Churn Prediction of Customer in Telecom Industry using Machine Learning Algorithms
4 references·9 citing·41 second hop
Churn Prediction of Customer in Telecom Industry using Machine Learning Algorithms (2020)Churn Prediction of Customer in Telecom I…Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …A Novel Approach for Churn Prediction Using Deep Learning (2017)A Novel Approach for Churn Pr…A Survey on Customer Churn Prediction using Machine Learning Techniques (2016)A Survey on Customer Churn Pr…Telecommunication subscribers' churn prediction model using machine learning (2013)Telecommunication subscribers…Hybrid Machine Learning Models for Predictive Maintenance in Cloud-Based Infrastructure for SaaS Applications (2024)Hybrid Machine Learning Model…Customer Churn Prediction in the Telecom Sector (2024)Customer Churn Prediction in …Analysis and Prediction of Churn and Retention Rate of Customers in Telecom Industry Using Logistic Regression (2024)Analysis and Prediction of Ch…Telecom Churn Classification using Scatter Search and Random Forest Classifier (2023)Telecom Churn Classification …Machine Learning and Deep Learning technique used in Customer Churn Prediction: - A Review (2023)Machine Learning and Deep Lea…Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study (2022)Detecting the Risk of Custome…Analysis of customer churn prediction using machine learning and deep learning algorithms (2022)Analysis of customer churn pr…Telecom Churn Prediction Using Seven Machine Learning Experiments integrating Features engineering and Normalization (2021)Telecom Churn Prediction Usin…CUSTOMER CHURN PREDICTION (2021)CUSTOMER CHURN PREDICTIONCustomer churn prediction using improved balanced random forests (2008)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Customer churn prediction in telecommunications (2011)Hybrid approach using machine learning algorithms for customers' churn prediction in the telecommunications industry (2021)Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction (2023)A data-driven approach with explainable artificial intelligence for customer churn prediction in the telecommunications industry (2025)Deep learning applications and challenges in big data analytics (2015)Telco Churn Prediction with Big Data (2015)Predicting process behaviour using deep learning (2017)Telecom churn prediction and used techniques, datasets and performance measures: a review (2020)Deep Learning as a Vector Embedding Model for Customer Churn (2021)Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)Turning telecommunications call details to churn prediction: a data mining approach (2002)Handling class imbalance in customer churn prediction (2008)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)A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services (2013)Customer churn prediction in telecommunication industry using data certainty (2018)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)An Enhanced Bank Customers Churn Prediction Model Using A Hybrid Genetic Algorithm And K-Means Filter And Artificial Neural Network (2021)Customer Churn Prediction Using Apriori Algorithm and Ensemble Learning (2023)Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)Customer churn prediction system: a machine learning approach (2021)Predicting Consumption Intention of Consumer Relationship Management Users Using Deep Learning Techniques: A Review (2022)A comparison of machine learning techniques for customer churn prediction (2015)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Behavior Analysis Using Enhanced Fuzzy Clustering and Deep Learning (2022)Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature (2024)Optimizing Customer Retention in the Telecom Industry: A Fuzzy-Based Churn Modeling with Usage Data (2024)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)A Comparison of Machine Learning Algorithms for Customer Churn Prediction (2023)Predicting Customer Churn In Telecom Industry: A Machine Learning Approach For Improving Customer Retention (2023)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research (2016)Customer churning analysis using machine learning algorithms (2023)Data-Driven Decision Support in SaaS Cloud-Based Service Models (2025)Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Machine learning based customer churn prediction in home appliance rental business (2023)
this work references cited by second hop

References

  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2013Telecommunication subscribers' churn prediction model using machine learning140 cited
  • 2016A Survey on Customer Churn Prediction using Machine Learning Techniques71 cited
  • 2017A Novel Approach for Churn Prediction Using Deep Learning59 cited

Cited by

  • 2021CUSTOMER CHURN PREDICTION29 cited
  • 2022Detecting the Risk of Customer Churn in Telecom Sector: A Comparative Study25 cited
  • 2024Hybrid Machine Learning Models for Predictive Maintenance in Cloud-Based Infrastructure for SaaS Applications19 cited
  • 2023Machine Learning and Deep Learning technique used in Customer Churn Prediction: - A Review17 cited
  • 2024Analysis and Prediction of Churn and Retention Rate of Customers in Telecom Industry Using Logistic Regression16 cited
  • 2022Analysis of customer churn prediction using machine learning and deep learning algorithms15 cited
  • 2024Customer Churn Prediction in the Telecom Sector12 cited
  • 2021Telecom Churn Prediction Using Seven Machine Learning Experiments integrating Features engineering and Normalization12 cited
  • 2023Telecom Churn Classification using Scatter Search and Random Forest Classifier9 cited

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