SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Features Weight Estimation Using a Genetic Algorithm for Customer Churn Prediction in the Telecom Sector
5 references·5 citing·39 second hop
Features Weight Estimation Using a Genetic Algorithm for Customer Churn Prediction in the Telecom Sector (2019)Features Weight Estimation Using a Geneti…Just-in-time Customer Churn Prediction: With and Without Data Transformation (2018)Just-in-time Customer Churn P…How smartphone advertising influences consumers' purchase intention (2018)How smartphone advertising in…Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector (2018)Computing efficient features …Customer churn prediction in the telecommunication sector using a rough set approach (2016)Customer churn prediction in …Improved churn prediction in telecommunication industry by analyzing a large network (2014)Improved churn prediction in …Profit-driven pre-processing in B2B customer churn modeling using fairness techniques (2024)Profit-driven pre-processing …A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry (2024)A proposed hybrid framework t…Müşteri Kaybı Tahmininde Sınıf Dengesizliği Problemi (2020)Müşteri Kaybı Tahmininde Sını…Customer Churn Prediction in Telecommunication Industry Using Data Certainty (2020)Customer Churn Prediction in …Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization (2019)Churn prediction in Turkey's …Power and Centrality: A Family of Measures (1987)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Applying data mining to telecom churn management (2005)Intelligent data analysis approaches to churn as a business problem: a survey (2016)Does country-of-origin brand personality generate retail customer lifetime value? A Big Data analytics approach (2017)Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis (2023)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Investigating drivers of bank loyalty: the complex relationship between image, service quality and satisfaction (1998)Handling class imbalance in customer churn prediction (2008)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)A Systematic Review of the Causes and Consequences of Price Hikes in Bangladesh (2023)Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics (1981)The partial least squares approach for structural equation modeling. (1998)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)How fashion influencers contribute to consumers' purchase intention (2020)Does SMS advertising still have relevance to increase consumer purchase intention? A hybrid PLS-SEM-neural network modelling approach (2021)Investigating the impact of social media images’ value, consumer engagement, and involvement on eWOM of a tourism destination: A transmittal mediation approach (2022)Customer churn prediction in telecommunications (2011)A comparison of machine learning techniques for customer churn prediction (2015)Customer Churn Prediction Model and Identifying Features to Increase Customer Retention based on User Generated Content (2020)Predicting customer churn: A systematic literature review (2022)Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion (2023)Data Cleaning: Problems and Current Approaches. (2000)Case based models of the relationship between consumer resistance to innovation and customer churn (2021)Data preparation for data mining (2003)Identification of Customer Churn Considering Difficult Case Mining (2023)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)Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company (2021)Customer Churn Prediction Using Machine Learning (2023)Improved churn prediction in telecommunication industry using data mining techniques (2014)Customer attrition analysis for financial services using proportional hazard models (2003)Data preprocessing techniques for classification without discrimination (2011)Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency (2024)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Survey on Bias and Fairness in Machine Learning (2021)
this work references cited by second hop

References

  • 2018How smartphone advertising influences consumers' purchase intention606 cited
  • 2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited
  • 2014Improved churn prediction in telecommunication industry by analyzing a large network83 cited
  • 2018Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector46 cited
  • 2018Just-in-time Customer Churn Prediction: With and Without Data Transformation39 cited

Cited by

  • 2024A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry22 cited
  • 2020Customer Churn Prediction in Telecommunication Industry Using Data Certainty16 cited
  • 2019Churn prediction in Turkey's telecommunications sector: A proposed multiobjective–cost‐sensitive ant colony optimization12 cited
  • 2020Müşteri Kaybı Tahmininde Sınıf Dengesizliği Problemi8 cited
  • 2024Profit-driven pre-processing in B2B customer churn modeling using fairness techniques7 cited

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