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NTIS 바로가기지능정보연구 = Journal of intelligence and information systems, v.26 no.4, 2020년, pp.111 - 126
김형수 (한성대학교 스마트경영공학부) , 홍승우 (한성대학교 대학원 산업경영공학과)
Most industries have recently become aware of the importance of customer lifetime value as they are exposed to a competitive environment. As a result, preventing customers from churn is becoming a more important business issue than securing new customers. This is because maintaining churn customers ...
Athanassopoulos, A. D., "Customer satisfaction cues to support market segmentation and explain switching behavior," Journal of business research, Vol.47, No.3(2000), 191-207.
Chang, N. S., "Improving the effectiveness of customer classification models: a pre-segmentation approach," Information Systems Review, Vol.7, No.2(2005), 23-40.
Cho, Y. S., M. H. Huh, and K. H. Ryu, "Implementation of Personalized Recommendation System using RFM method in Mobile Internet Environment," Journal of The Korea Society of Computer and Information, Vol.13, No.2(2008), 41-50.
De Bock, K. W. and D. Van den Poel, "Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models," Expert Systems with Applications, Vol.39, No.8(2012), 6816-6826.
Han, S. L. and A. Maeng, "Effects of Switching Barrier of Mobile Telecommunication Service on Customer Retention And Churn-out," Proceedings of the Korea Distribution Association Conference, (2004), 191-197.
Hong, T. and B. Suh, "Data Mining for Personalization Model Using Customer Belief under the Internet Banking Environment," The Journal of Internet Electronic Commerce Resarch, Vol.4, No.2(2004), 101-115.
Hung, C. and C. F. Tsai, "Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand," Expert systems with applications, Vol.34, No.1(2008), 780-787.
Hung, S. Y., D. C. Yen, and H. Y. Wang, "Applying data mining to telecom churn management," Expert Systems with Applications, Vol.31, No.3(2006), 515-524.
Kawale, J., A. Pal, and J. Srivastava, "Churn prediction in MMORPGs: A social influence based approach," 2009 International Conference on Computational Science and Engineering, Vol.4, (2009), 423-428
Kim, C. N., N. S. Chang, and J. W. Kim, "A Study on the Analysis of Comparison of Churn Prediction Models in Mobile Telecommunication Services," Asia Pacific Journal of Information Systems, Vol.12, No.1 (2002), 139-158.
Kim, D. H. and K. K. Ahn, "A Study on the Customer Segmentation Using Machine Learning," The Society of Convergence Knowledge Transactions, Vol.6, No.2(2018), 115-120.
Kim, H. S. and D. Y. Shin, "Developing a customer defection model based on relative defection criteria for non-contractual businesses," Korean Journal of Marketing, Vol.27, No.3 (2012), 117-144.
Kim, H.S. and Y.G. Kim, "CRM Strategy: Principles and Applecations," Young Publication, 2015.
Kraljevic, G. and S. Gotovac, "Modeling data mining applications for prediction of prepaid churn in telecommunication services," Automatika, Vol.51, No.3(2010), 275-283.
Lee, J. S. and J. C. Lee, "Customer Churn Prediction of Automobile Insurance by Multiple Models," Journal of Intelligence and Information Systems, Vol.12, No.2(2006), 167-183.
Lee, K. C., S. J. Kwon, and K. S. Shin, "Analysis of Defection Customer Using Customer Segmentation on Bank," Journal of Intelligence and Information Systems, Vol.7, No.1(2001), 177-196.
Nath, S. V. and R. S. Behara, "Customer churn analysis in the wireless industry: A data mining approach," Proceedings-annual meeting of the decision sciences institute, (2003), Vol. 561, 505-510.
Nie, G., G. Wang, P. Zhang, Y. Tian, and Y. Shi, "Finding the hidden pattern of credit card holder's churn: A case of china," Proceedings of Springer International Conference on Computational Science, (2009), 561-569.
Oh, S., E. Lee, J. Woo, and H. K. Kim, "Constructing and Evaluating a Churn Prediction Model using Classification of User Types in MMORPG," KIISE Transactions on Computing Practices, Vol.24, No.5(2018), 220-226.
Park, S. H. and H. S. Kim, "Design of a Diversity-Based Recommender System for Providing Anti-Churning Rules," Korea Intelligent Information System Society, Vol.11, No.3 (2012), 101-112.
Pham, M. C., Y. Cao, R. Klamma, and M. Jarke, "A clustering approach for collaborative filtering recommendation using social network analysis," J. UCS, Vo.17, No.4(2011), 583-604.
Tsai, C. F. and Y. H. Lu, "Customer churn prediction by hybrid neural networks," Expert Systems with Applications, Vol.36, No.10 (2009), 12547-12553.
Wen, J. and W. Zhou, "An improved item-based collaborative filtering algorithm based on clustering method," Journal of Computational Information Systems, Vol.8, No.2(2012), 571-578.
Xie, Y. and X. Li, "Churn prediction with linear discriminant boosting algorithm," Proceedings of IEEE International Conference on Machine Learning and Cybernetics, (2008), 228-233.
Xie, Y., X. Li, E. W. T. Ngai, and W. Ying, "Customer churn prediction using improved balanced random forests," Expert Systems with Applications, Vol.36, No.3(2009), 5445-5449.
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