Churn prediction of mobile and online casual games using play log data
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Abstract
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DOI: 10.1371/journal.pone.0180735
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References listed on IDEAS
- Coussement, Kristof & Benoit, Dries Frederik & Van den Poel, Dirk, 2009.
"Improved Marketing Decision Making in a Customer Churn Prediction Context Using Generalized Additive Models,"
Working Papers
2009/18, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
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"Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
06/412, Ghent University, Faculty of Economics and Business Administration.
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Citations
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Cited by:
- Ana Perišić & Marko Pahor, 2023. "Clustering mixed-type player behavior data for churn prediction in mobile games," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 165-190, March.
- Kaan Arik & Murat Gezer & Seda Tolun Tayali, 2022. "The study of indicators affecting customer churn in MMORPG games with machine learning models," Upravlenets, Ural State University of Economics, vol. 13(6), pages 70-85, January.
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