1. Z. Can, E. Albey, Churn prediction for mobile prepaid subscribers, in DATA (2017), pp. 67–74
2. S. Höppner, E. Stripling, B. Baesens, S. vanden Broucke, T. Verdonck, Profit driven decision trees for churn prediction. Eur. J. Oper. Res. (2018)
3. H. Faris, A hybrid swarm intelligent neural network model for customer churn prediction and identifying the influencing factors. Information 9(11), 288 (2018)
4. A. Cotter, H. Jiang, S. Wang, T. Narayan, M. Gupta, S. You, K. Sridharan, Optimization with non-differentiable constraints with applications to fairness, recall, churn, and other goals (2018).
arXiv:1809.04198
5. P. Spanoudes, T. Nguyen, Deep learning in customer churn prediction: unsupervised feature learning on abstract company independent feature vectors (2017).
arXiv:1703.03869