Author:
Vo Nhi N. Y.,Liu Shaowu,Brownlow James,Chu Charles,Culbert Ben,Xu Guandong
Publisher
Springer International Publishing
Reference19 articles.
1. Ali, O.G., Arıtürk, U.: Dynamic churn prediction framework with more effective use of rare event data: the case of private banking. Expert Syst. Appl. 41(17), 7889–7903 (2014)
2. Almana, A.M., Aksoy, M.S., Alzahrani, R.: A survey on data mining techniques in customer churn analysis for telecom industry. J. Eng. Res. Appl. 4(5), 165–171 (2014)
3. Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785–794. ACM (2016)
4. Chu, C., Xu, G., Brownlow, J., Fu, B.: Deployment of churn prediction model in financial services industry. In: 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), pp. 1–2. IEEE (2016)
5. Coussement, K., Van den Poel, D.: Integrating the voice of customers through call center emails into a decision support system for churn prediction. Inf. Manag. 45(3), 164–174 (2008)
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