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Boosting Internet Card Cellular Business via User Portraits: A Case of Churn Prediction
10 references·0 citing·51 second hop
Boosting Internet Card Cellular Business via User Portraits: A Case of Churn Prediction (2022)Boosting Internet Card Cellular Business …To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage (2020)To What Extent We Repeat Ours…Telecom churn prediction and used techniques, datasets and performance measures: a review (2020)Telecom churn prediction and …Keep You from Leaving: Churn Prediction in Online Games (2020)Keep You from Leaving: Churn …Experience (2020)ExperienceTo Stay or to Leave (2018)To Stay or to LeaveSmartphone App Usage Prediction Using Points of Interest (2018)Smartphone App Usage Predicti…A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games (2018)A Semi-Supervised and Inducti…Churn Prediction System for Telecom using Filter–Wrapper and Ensemble Classification (2016)Churn Prediction System for T…Telco Churn Prediction with Big Data (2015)Telco Churn Prediction with B…A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A Novel Profit Maximizing Met…Applying data mining to telecom churn management (2005)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Handling class imbalance in customer churn prediction (2008)A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn (2016)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction system: a machine learning approach (2021)Introduction to Data Mining (2007)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Development and application of consumer credit scoring models using profit-based classification measures (2014)Improved churn prediction in telecommunication industry using data mining techniques (2014)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors (2018)Hybrid ensemble learning approaches to customer churn prediction (2021)Kano Model Integration with Data Mining to Predict Customer Satisfaction (2021)Habits make smartphone use more pervasive (2011)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Strategies and limitations in app usage and human mobility (2019)User profiling from their use of smartphone applications: A survey (2019)Exploring Millions of Footprints in Location Sharing Services (2021)Characterizing Internet Card User Portraits for Efficient Churn Prediction Model Design (2023)To Dwell among Friends: Personal Networks in Town and City. (1984)Birds of a Feather: Homophily in Social Networks (2001)Cities and Skills (2001)GeoLifecycle (2019)Understanding Default Behavior in Online Lending (2019)Looking for a better future: modeling migrant mobility (2020)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)Deep Learning as a Vector Embedding Model for Customer Churn (2021)Social networks for enhanced player churn prediction in mobile free-to-play games (2022)A Comparison of String Metrics for Matching Names and Records (2003)Contextual patterns in mobile service usage (2008)Empirical study of topic modeling in Twitter (2010)Bi-Branch Vision Transformer Network for EEG Emotion Recognition (2023)The Relationship between Search Engines and Entrepreneurship Development: A Granger-VECM Approach (2023)You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior (2023)Customer churn prediction using improved balanced random forests (2008)Churn Prediction in MMORPGs: A Social Influence Based Approach (2009)Predicting Churn in Online Games by Quantifying Diversity of Engagement (2023)Enhancing game customer churn prediction with a stacked ensemble learning model (2024)TBformer: Multi-Scale Transformer With Time-Behavior Attention for Multi-Modal Customer Churn Prediction (2025)Attitude as a Scientific Concept (1963)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting customer churn in mobile networks through analysis of social groups (2010)A novel evolutionary data mining algorithm with applications to churn prediction (2003)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (2022)Performance Evaluation of Various Classification Techniques for Customer Churn Prediction in E-commerce (2022)
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References

  • 2012A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models177 cited
  • 2015Telco Churn Prediction with Big Data130 cited
  • 2018Smartphone App Usage Prediction Using Points of Interest101 cited
  • 2020To What Extent We Repeat Ourselves? Discovering Daily Activity Patterns Across Mobile App Usage97 cited
  • 2020Telecom churn prediction and used techniques, datasets and performance measures: a review54 cited
  • 2018A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games48 cited
  • 2016Churn Prediction System for Telecom using Filter–Wrapper and Ensemble Classification33 cited
  • 2018To Stay or to Leave18 cited
  • 2020Keep You from Leaving: Churn Prediction in Online Games12 cited
  • 2020Experience11 cited

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