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8. T. Vafeiadis, K. I. Diamantaras, G. Sarigiannidis, and K. Ch. Chatzisavvas, "A comparison of machine learning techniques for customer churn prediction," Simulation Modelling Practice and Theory, Vol. 55, pp. 1-9, 2015. 

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9. K. Dasgupta, R. Singh, B. Viswanathan, D. Chakraborty, S. Mukherjea, A. A. Nanavati, and A. Joshi, "Social Ties and their Relevance to Churn in Mobile Telecom Networks," Proc. of the 11th international conference on Extending database technology: Advances in database technology, ACM, pp. 668-677, 2008. 

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11. J. Lee, J. Lim, W. Cho, and H. K. Kim, "In-Game Action Sequence Analysis for Game BOT Detection on the Big Data Analysis Platform," Proc. of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Vol. 2, pp. 403-414, 2014. 

12. J. Lee, J. Lim, W. Cho, and H. K. Kim, "I know what the BOTs did yesterday: Full action sequence analysis using Naive Bayesian algorithm," Proc. of the 2013 12th Annual Workshop on Network and Systems Support or Games (NetGames), IEEE, pp. 1-2, 2013. 

13. J. Lee, S. W. Kang, and H. K. Kim, "A study on hard-core users and bots detection using classification of game character's growth type in online games," Journal of Korea Institute of Information Security and Cryptology, Vol. 25, No. 5, pp. 1077-1084, 2015. 

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14. H. J. Choi, J. Y. Woo, and H. K. Kim, "Online Game Identity Theft Detection Model based on Hacker's Behavior Analysis," Journal of Korea Game Society, Vol. 11, No. 6, pp. 81-98, 2011. (in Korean) 

15. J. Yang, X. Wei, M. S. Ackerman, and L. A. Adamic, "Activity Lifespan: An Analysis of User Survival Patterns in Online Knowledge Sharing Communities," Proc. of ICWSM, pp. 186-193, 2010. 

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