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A Big Data-Driven Hybrid Model for Enhancing Streaming Service Customer Retention Through Churn Prediction Integrated With Explainable AI
13 references·3 citing·43 second hop
A Big Data-Driven Hybrid Model for Enhancing Streaming Service Customer Retention Through Churn Prediction Integrated With Explainable AI (2024)A Big Data-Driven Hybrid Model for Enhanc…Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management (2021)Swarm intelligence goal-orien…Impact of Hyperparameter Tuning on Machine Learning Models in Stock Price Forecasting (2021)Impact of Hyperparameter Tuni…Giant fight: Customer churn prediction in traditional broadcast industry (2021)Giant fight: Customer churn p…Leveraging unstructured call log data for customer churn prediction (2020)Leveraging unstructured call …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 …Predicting Customer Churn in Banking Industry using Neural Networks (2016)Predicting Customer Churn in …Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (2016)Hyperband: A Novel Bandit-Bas…Data Preprocessing in Data Mining (2014)Data Preprocessing in Data Mi…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Computer assisted customer churn management: State-of-the-art and future trends (2005)Computer assisted customer ch…Data Preprocessing and Intelligent Data Analysis (1997)Data Preprocessing and Intell…A Fuzzy-XAI Framework for Customer Segmentation and Risk Detection: Integrating RFM, 2-Tuple Modeling, and Strategic Scoring (2025)A Fuzzy-XAI Framework for Cus…A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction (2025)A Comprehensive Evaluation of…Implementing machine learning techniques for customer retention and churn prediction in telecommunications (2024)Implementing machine learning…Customer satisfaction, customer retention, and market share (1993)Understanding customer relationship management (CRM) (2003)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Customer churn prediction in telecommunications (2011)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Customer churn prediction system: a machine learning approach (2021)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)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Modeling Customer Lifetime Value (2006)Evaluating multiple classifiers for stock price direction prediction (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Turning telecommunications call details to churn prediction: a data mining approach (2002)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)Big data: the management revolution. (2012)Big Data : The Management Revolution (2013)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)The Proof and Measurement of Association between Two Things (1904)A NEW MEASURE OF RANK CORRELATION (1938)An alternative "description of personality": The Big-Five factor structure. (1990)Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media (2022)Deep Churn Prediction Method for Telecommunication Industry (2023)Investigating customer churn in banking: a machine learning approach and visualization app for data science and management (2023)Another look at measures of forecast accuracy (2006)Practical Bayesian Optimization of Machine Learning Algorithms (2012)Using Effect Size—or Why the P Value Is Not Enough (2012)Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models (2023)A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)Bandit Algorithms (2020)Survey on Applications of Multi-Armed and Contextual Bandits (2020)Option Return Predictability with Machine Learning and Big Data (2023)Motivations and Performance Conditions for Ethnic Entrepreneurship (2002)Data analytic approach for bankruptcy prediction (2019)Sustainable Development Goal for Quality Education (SDG 4): A study on SDG 4 to extract the pattern of association among the indicators of SDG 4 employing a genetic algorithm (2022)STAC: A web platform for the comparison of algorithms using statistical tests (2015)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)
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References

  • 2014Data Preprocessing in Data Mining1,374 cited
  • 2016Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization1,368 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
  • 1997Data Preprocessing and Intelligent Data Analysis262 cited
  • 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network149 cited
  • 2020Leveraging unstructured call log data for customer churn prediction110 cited
  • 2021Impact of Hyperparameter Tuning on Machine Learning Models in Stock Price Forecasting101 cited
  • 2016Predicting Customer Churn in Banking Industry using Neural Networks78 cited
  • 2021Giant fight: Customer churn prediction in traditional broadcast industry41 cited
  • 2021Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management40 cited

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  • 2024Implementing machine learning techniques for customer retention and churn prediction in telecommunications

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21 cited
  • 2025A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction21 cited
  • 2025A Fuzzy-XAI Framework for Customer Segmentation and Risk Detection: Integrating RFM, 2-Tuple Modeling, and Strategic Scoring15 cited