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Deep Learning as a Vector Embedding Model for Customer Churn
6 references·6 citing·48 second hop
Deep Learning as a Vector Embedding Model for Customer Churn (2021)Deep Learning as a Vector Embedding Model…Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning (2018)Customer Churn Prediction Mod…A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games (2018)A Semi-Supervised and Inducti…Comparison of Deep Learning Algorithms to Predict Customer Churn within a Local Retail Industry (2017)Comparison of Deep Learning A…A Novel Approach for Churn Prediction Using Deep Learning (2017)A Novel Approach for Churn Pr…Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining (2013)Predicting Customer Churn in …Applying Data Mining to Customer Churn Prediction in an Internet Service Provider (2010)Applying Data Mining to Custo…Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction (2024)Sampling-based novel heteroge…Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry (2023)Ensemble classification using…Intelligent Decision Forest Models for Customer Churn Prediction (2022)Intelligent Decision Forest M…Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment (2022)Customer Churn Prediction Usi…Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction (2022)Clairvoyant: AdaBoost with Co…ANALISIS TINGKAT PENERIMAAN APLIKASI BCA MOBILE DI KOTA MALANG MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) (2022)ANALISIS TINGKAT PENERIMAAN A…Turning telecommunications call details to churn prediction: a data mining approach (2002)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Applying data mining to telecom churn management (2005)Churn Prediction in Telecommunication Industry Using Rough Set Approach (2014)An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing (2017)Data-driven agent-based exploration of customer behavior (2017)The Practice of Social Research (1989)Handling class imbalance in customer churn prediction (2008)A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection (2022)ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry (2024)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Customer churn prediction in telecommunications (2011)Online Purchase Behavior Prediction and Analysis Using Ensemble Learning (2020)Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions (2022)Machine learning in business and finance: a literature review and research opportunities (2024)Deep learning applications and challenges in big data analytics (2015)Telco Churn Prediction with Big Data (2015)Predicting process behaviour using deep learning (2017)Churn Prediction of Customer in Telecom Industry using Machine Learning Algorithms (2020)Telecom churn prediction and used techniques, datasets and performance measures: a review (2020)Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)A Customer Churn Prediction Model in Telecom Industry Using Boosting (2012)Customer churn analysis in telecom industry (2015)A Computational Model to Predict Consumer Behaviour During COVID-19 Pandemic (2020)Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry (2021)Churn prediction for high-value players in casual social games (2014)Predicting player churn in the wild (2014)Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles (2016)Micro- and macro-level churn analysis of large-scale mobile games (2019)Exploiting limited players’ behavioral data to predict churn in gamification (2021)Social networks for enhanced player churn prediction in mobile free-to-play games (2022)Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Leveraging unstructured call log data for customer churn prediction (2020)Dynamic customer churn prediction strategy for business intelligence using text analytics with evolutionary optimization algorithms (2021)Analysis Implementation of the Ensemble Algorithm in Predicting Customer Churn in Telco Data: A Comparative Study (2023)Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction (2023)Customer data prediction and analysis in e-commerce using machine learning (2024)The value of different customer satisfaction and loyalty metrics in predicting customer retention, recommendation, and share‐of‐wallet (2007)A classification application for using learning methods in bank costumer's portfolio churn (2023)Identifying Customer Churn Patterns Using Machine Learning Predictive Analysis (2023)Customer churn prediction in telecom using machine learning in big data platform (2019)Random forests for global sensitivity analysis: A selective review (2020)Customer churn prediction system: a machine learning approach (2021)Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction (2023)Customer Personality Analysis for Churn Prediction Using Hybrid Ensemble Models and Class Balancing Techniques (2023)Empirical analysis of tree-based classification models for customer churn prediction (2023)Q-ensemble learning for customer churn prediction with blockchain-enabled data transparency (2024)
this work references cited by second hop

References

  • 2013Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining79 cited
  • 2010Applying Data Mining to Customer Churn Prediction in an Internet Service Provider68 cited
  • 2017A Novel Approach for Churn Prediction Using Deep Learning59 cited
  • 2018Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning59 cited
  • 2017Comparison of Deep Learning Algorithms to Predict Customer Churn within a Local Retail Industry51 cited
  • 2018A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games48 cited

Cited by

  • 2022Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction33 cited
  • 2022Intelligent Decision Forest Models for Customer Churn Prediction32 cited
  • 2022Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment31 cited
  • 2024Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction12 cited
  • 2023Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry11 cited
  • 2022ANALISIS TINGKAT PENERIMAAN APLIKASI BCA MOBILE DI KOTA MALANG MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM)10 cited

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