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Measuring Player Retention and Monetization Using the Mean Cumulative Function.

, , , , and . IEEE Trans. Games, 12 (1): 101-114 (2020)

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Measuring Player Retention and Monetization Using the Mean Cumulative Function., , , , and . IEEE Trans. Games, 12 (1): 101-114 (2020)User activity decay in mobile games determined by simple differential equations?, , , and . CIG, page 1-8. IEEE, (2016)Predicting Unemployment with Machine Learning Based on Registry Data., and . RCIS, volume 385 of Lecture Notes in Business Information Processing, page 352-368. Springer, (2020)Predicting Expected Profit in Ongoing Peer-to-Peer Loans with Survival Analysis-Based Profit Scoring., and . KES-IDT (1), volume 142 of Smart Innovation, Systems and Technologies, page 15-26. Springer, (2019)Spectral Analysis of Symmetric and Anti-Symmetric Pairwise Kernels., , , and . CoRR, (2015)A/B-Test of Retention and Monetization Using the Cox Model., , , and . AIIDE, page 248-254. AAAI Press, (2017)Modelling user retention in mobile games., , , and . CIG, page 1-8. IEEE, (2016)Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Data., , and . KES-IDT, volume 193 of Smart Innovation, Systems and Technologies, page 15-25. Springer, (2020)Fast Regularized Least Squares and k-means Clustering Method for Intrusion Detection Systems., , , and . ICPRAM (2), page 264-269. SciTePress, (2015)llperm: a permutation of regressor residuals test for microbiome data., and . BMC Bioinform., 23 (1): 540 (2022)