Whales, Dolphins, or Minnows? Towards the Player Clustering in Free Online Games Based on Purchasing Behavior via Data Mining Technique
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Lijun Chen | Youjian Eugene Liu | Ting Huang | Wanshan Yang | Gemeng Yang | Ting Huang | Lijun Chen | Y. Liu | Wanshan Yang | Gemeng Yang
[1] Janne Paavilainen,et al. Why do players buy in-game content? An empirical study on concrete purchase motivations , 2017, Comput. Hum. Behav..
[2] Diego Klabjan,et al. Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[3] Allart Thibault,et al. Design influence on player retention: A method based on time varying survival analysis , 2016 .
[4] Anna Guitart,et al. Games and big data: A scalable multi-dimensional churn prediction model , 2017, 2017 IEEE Conference on Computational Intelligence and Games (CIG).
[5] Sally M. Gainsbury,et al. Who Pays to Play Freemium Games? The Profiles and Motivations of Players Who Make Purchases Within Social Casino Games , 2016, Journal of behavioral addictions.
[6] Christian Bauckhage,et al. Predicting Purchase Decisions in Mobile Free-to-Play Games , 2015, AIIDE.
[7] Christian Bauckhage,et al. Predicting player churn in the wild , 2014, 2014 IEEE Conference on Computational Intelligence and Games.
[8] Kyung-Joong Kim,et al. Interpreting behaviors of mobile game players from in-game data and context logs , 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).
[9] Christian Bauckhage,et al. Predicting Retention in Sandbox Games with Tensor Factorization-based Representation Learning , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[10] Tapio Pahikkala,et al. Measuring Player Retention and Monetization Using the Mean Cumulative Function , 2017, IEEE Transactions on Games.
[11] Alain Saas,et al. Discovering playing patterns: Time series clustering of free-to-play game data , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[12] Julian Togelius,et al. Game Data Mining , 2013, Game Analytics, Maximizing the Value of Player Data.
[13] Peter S. Fader,et al. RFM and CLV: Using Iso-Value Curves for Customer Base Analysis , 2005 .
[14] P. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .
[15] Jari Salo,et al. Teenagers in social virtual worlds: Continuous use and purchasing behavior in Habbo Hotel , 2011, Comput. Hum. Behav..
[16] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[17] Jukka Heikkonen,et al. User activity decay in mobile games determined by simple differential equations? , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[18] Jukka Heikkonen,et al. Modelling user retention in mobile games , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[19] Peng Gao,et al. Churn prediction for high-value players in casual social games , 2014, 2014 IEEE Conference on Computational Intelligence and Games.
[20] A. A. Freitas,et al. Consumer behavior of electronic games' players: a study on the intentions to play and to pay , 2017 .
[21] C. Sun,et al. Cash Trade in Free-to-Play Online Games , 2011, Games Cult..
[22] Diego Klabjan,et al. Rapid Prediction of Player Retention in Free-to-Play Mobile Games , 2016, AIIDE.
[23] Rüdiger Zarnekow,et al. Purchasing Behavior in Free to Play Games: Concepts and Empirical Validation , 2015, 2015 48th Hawaii International Conference on System Sciences.
[24] Kyung-Joong Kim,et al. Extracting gamers' cognitive psychological features and improving performance of churn prediction from mobile games , 2017, 2017 IEEE Conference on Computational Intelligence and Games (CIG).
[25] Sam Devlin,et al. Predicting player disengagement and first purchase with event-frequency based data representation , 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).
[26] Tamassia Marco,et al. Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game , 2016 .