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Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries
13 references·0 citing·46 second hop
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on …Customer Churn Prediction in Telecommunication Industry Using Classification and Regression Trees and Artificial Neural Network Algorithms (2022)Customer Churn Prediction in …Artificial Intelligence Based Customer Churn Prediction Model for Business Markets (2022)Artificial Intelligence Based…Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management (2021)Swarm intelligence goal-orien…Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector (2021)Multi-objective rain optimiza…Hybrid Artificial Neural Networks Using Customer Churn Prediction (2021)Hybrid Artificial Neural Netw…Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms (2021)Dynamic customer churn predic…Customer churn prediction system: a machine learning approach (2021)Customer churn prediction sys…Handling class imbalance in customer churn 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machine learning driven churn prediction (2024)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in imbalanced datasets with resampling methods: A comparative study (2024)Customer churn prediction model based on hybrid neural networks (2024)Explaining customer churn prediction in telecom industry using tabular machine learning models (2024)An effective hybrid learning system for telecommunication churn prediction (2013)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Virtual reality among the elderly: a usefulness and acceptance study from Taiwan (2019)Predicting Customer Churn In Telecom Industry: A Machine Learning Approach For Improving Customer 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References

  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2023Deep Churn Prediction Method for Telecommunication Industry91 cited
  • 2023An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes76 cited
  • 2021Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms62 cited
  • 2021Multi-objective rain optimization algorithm with WELM model for customer churn prediction in telecommunication sector54 cited
  • 2022Artificial Intelligence Based Customer Churn Prediction Model for Business Markets51 cited
  • 2022Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector48 cited
  • 2023Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction45 cited
  • 2021Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management40 cited
  • 2023Exploratory Data Analysis and Customer Churn Prediction for the Telecommunication Industry34 cited
  • 2021Hybrid Artificial Neural Networks Using Customer Churn Prediction29 cited
  • 2023Leveraging metaheuristics with artificial intelligence for customer churn prediction in telecom industries27 cited
  • 2022Customer Churn Prediction in Telecommunication Industry Using Classification and Regression Trees and Artificial Neural Network Algorithms

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