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Churn Prediction with Sequential Data Using Long Short Term Memory
5 references·1 citing·28 second hop
Churn Prediction with Sequential Data Using Long Short Term Memory (2020)Churn Prediction with Sequential Data Usi…Comparing to Techniques Used in Customer Churn Analysis (2019)Comparing to Techniques Used …Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis (2019)Churn Prediction with Sequent…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…Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences (2012)Predicting partial customer c…Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn (2009)Hybrid Models Using Unsupervi…Personalized Customer Churn Analysis with Long Short-Term Memory (2021)Personalized Customer Churn A…Customer Loyalty: Toward an Integrated Conceptual Framework (1994)The Behavioral Consequences of Service Quality (1996)Marketing management: analysis. planning. implementation and control (2000)A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry (2014)pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector (2018)Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers’ purchasing behavior (2022)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)Information Processing View of Organizations: An Exploratory Examination of Fit in the Context of Interorganizational Relationships (2005)An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing (2017)Improved credit card churn prediction based on rough clustering and supervised learning techniques (2017)Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling (2017)Zero defections: quality comes to services. (1990)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)Turning telecommunications call details to churn prediction: a data mining approach (2002)Handling class imbalance in customer churn prediction (2008)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A Stacking-Based Data Mining Solution to Customer Churn Prediction (2021)A New Churn Prediction Model Based on Deep Insight Features Transformation for Convolution Neural Network Architecture and Stacknet (2022)Dynamic Behavior-Based Churn Forecasts in the Insurance Sector (2023)The optimal ratio of acquisition and retention costs (2005)Service quality, perceived value, corporate image, and customer loyalty in the context of varying levels of switching costs (2010)Development of Churn Prediction Model using XGBoost - Telecommunication Industry in Sri Lanka (2021)Enhancing Customer Churn Prediction in Digital Banking using Ensemble Modeling (2022)Customer churn analysis using feature optimization methods and tree-based classifiers (2024)
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References

  • 2019A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector394 cited
  • 2009Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn76 cited
  • 2019Comparing to Techniques Used in Customer Churn Analysis34 cited
  • 2012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences25 cited
  • 2019Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis24 cited

Cited by

  • 2021Personalized Customer Churn Analysis with Long Short-Term Memory9 cited

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