1. Niu, X., Wang, L. and Yang X. (2019). A comparison study of credit card fraud detection: Supervised versus Unsupervised. [online] arXiv:1904.10604 [cs.LG]. Available at: https://arxiv.org/abs/1904.10604.
2. Learning from imbalanced data: open challenges and future directions;Krawczyk;Progress in Artificial Intelligence,2016
3. Wedge, R., Kanter, J.M. and Veeramachaneni, K. (2017). Solving the “false positives” problem in fraud prediction. [online] arXiv:1710.07709 [cs.AI]. Available at: https://arxiv.org/abs/1710.07709.
4. Reiss, R.D. (1993). A Course on Point Processes. 1st ed. Springer Series in Statistics.
5. Drazek, L.C. (2013). Intensity estimation for poisson processes. Master Thesis, The University of Leeds.