Predicting Customer Churn in Mobile Football Application
Author:
Affiliation:
1. Department of Industrial Engineering, Chulalongkorn University, Bangkok, Thailand
Publisher
ACM Press
Reference12 articles.
1. Dalvi, P.K., et al. Analysis of customer churn prediction in telecom industry using decision trees and logistic regression. in 2016 Symposium on Colossal Data Analysis and Networking (CDAN). 2016.
2. Amin, A., et al., Customer churn prediction in the telecommunication sector using a rough set approach. Neurocomputing, 2017. 237: p. 242--254.
3. Bolancé, C., M. Guillen, and A.E. Padilla-Barreto, Predicting Probability of Customer Churn in Insurance, in Modeling and Simulation in Engineering, Economics and Management: International Conference, MS 2016, Teruel, Spain, July 4-5, 2016, Proceedings, R. León, M.J. Muñoz-Torres, and J.M. Moneva, Editors. 2016, Springer International Publishing: Cham. p. 82--91.
4. Awang, M.K., et al., A New Customer Churn Prediction Approach Based on Soft Set Ensemble Pruning, in Recent Advances on Soft Computing and Data Mining: The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings, T. Herawan, et al., Editors. 2017, Springer International Publishing: Cham. p. 427--436.
5. Yabas, U., H.C. Cankaya, and T. Ince. Customer Churn Prediction for Telecom Services. in 2012 IEEE 36th Annual Computer Software and Applications Conference. 2012.
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