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A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games
16 references·1 citing·49 second hopsampled
A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games (2023)A Data-Driven Decision Support Framework …A Difficulty-Aware Framework for Churn Prediction and Intervention in Games (2021)A Difficulty-Aware Framework …Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game (2020)Prediction of Player Churn an…Micro- and macro-level churn analysis of large-scale mobile games (2019)Micro- and macro-level churn …I Know You'll Be Back (2018)I Know You'll Be BackExplanations and Expectations (2018)Explanations and ExpectationsPlaytime Measurement With Survival Analysis (2017)Playtime Measurement With Sur…Early churn prediction with personalized targeting in mobile social games (2017)Early churn prediction with p…Intelligent data analysis approaches to churn as a business problem: a survey (2016)Intelligent data analysis app…Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles (2016)Churn Prediction in Mobile So…Predicting player churn in the wild (2014)Predicting player churn in th…Improved churn prediction in telecommunication industry by analyzing a large network (2014)Improved churn prediction in …Dynamic churn prediction framework with more effective use of rare event data: The case of private banking (2014)Dynamic churn prediction fram…Churn prediction for high-value players in casual social games (2014)Churn prediction for high-val…Churn analysis for an Iranian mobile operator (2011)Churn analysis for an Iranian…An extended support vector machine forecasting framework for customer churn in e-commerce (2010)An extended support vector ma…Applying data mining to telecom churn management (2005)Applying data mining to telec…A Two-Stage Ensemble Approach for Analysis of Optimizing Customer Churn with Lime Interpretability (2024)A Two-Stage Ensemble Approach…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)Churn Prediction in MMORPGs: A Social Influence Based Approach (2009)A Survey on Churn Analysis in Various Business Domains (2020)Power and Centrality: A Family of Measures (1987)Does country-of-origin brand personality generate retail customer lifetime value? A Big Data analytics approach (2017)Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis (2023)Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market (2001)Issues in Linking Information Technology Capability to Firm Performance1 (2003)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)How value and trust influence loyalty in wireless telecommunications industry (2012)An integrative framework for customer switching behavior (2018)Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: A machine learning approach (2020)Turning telecommunications call details to churn prediction: a data mining approach (2002)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Predicting customer churn from valuable B2B customers in the logistics industry: a case study (2014)Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach (2021)E-commerce customer churn prevention using machine learning-based business intelligence strategy (2023)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)Social ties and their relevance to churn in mobile telecom networks (2008)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)New Indexes of Coincident and Leading Economic Indicators (1989)LEARNING FROM CUSTOMER DEFECTIONS (1996)A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy (2004)Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector (2021)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Building Data Mining Applications for CRM (1999)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A survey of results on mobile phone datasets analysis (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Not if but When will Borrowers Default (1999)Survival Analysis Methods for Personal Loan Data (2002)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Games and big data: A scalable multi-dimensional churn prediction model (2017)Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models (2018)An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)Customer churn prediction using improved balanced random forests (2008)Customer churn prediction in telecommunications (2011)Large-scale Ensemble Model for Customer Churn Prediction in Search Ads (2018)Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning (2021)Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest (2022)Time Series Analysis: Forecasting and Control. (1978)What We Instagram: A First Analysis of Instagram Photo Content and User Types (2014)Characterizing and Forecasting User Engagement with In-App Action Graph (2019)A survey on machine learning methods for churn prediction (2022)Exploiting time-varying RFM measures for customer churn prediction with deep neural networks (2023)
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References

  • 2005Applying data mining to telecom churn management514 cited
  • 2014Predicting player churn in the wild160 cited
  • 2014Churn prediction for high-value players in casual social games147 cited
  • 2016Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles107 cited
  • 2014Dynamic churn prediction framework with more effective use of rare event data: The case of private banking98 cited
  • 2010An extended support vector machine forecasting framework for customer churn in e-commerce98 cited
  • 2011Churn analysis for an Iranian mobile operator95 cited
  • 2017Early churn prediction with personalized targeting in mobile social games83 cited
  • 2014Improved churn prediction in telecommunication industry by analyzing a large network83 cited
  • 2018I Know You'll Be Back80 cited
  • 2018Explanations and Expectations79 cited
  • 2016Intelligent data analysis approaches to churn as a business problem: a survey74 cited
  • 2017Playtime Measurement With Survival Analysis43 cited
  • 2020Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game43 cited
  • 2019Micro- and macro-level churn analysis of large-scale mobile games

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27 cited
  • 2021A Difficulty-Aware Framework for Churn Prediction and Intervention in Games19 cited
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    • 2024A Two-Stage Ensemble Approach for Analysis of Optimizing Customer Churn with Lime Interpretability11 cited