1. Kou, Y., Lu, C.T., Sirwongwattana, S., Huang, Y.P.: Survey of fraud detection techniques. In: IEEE International Conference on Networking, Sensing and Control, vol. 2, pp. 749–754. IEEE (2004)
2. Wang, S., Liu, C., Gao, X., Qu, H., Xu, W.: Session-based fraud detection in online e-commerce transactions using recurrent neural networks. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 241–252. Springer, Cham, September 2017
3. Şahin, Y.G., Duman, E.: Detecting credit card fraud by decision trees and support vector machines (2011)
4. Minastireanu, E.A., Mesnita, G.: An analysis of the most used machine learning algorithms for online fraud detection. Inform. Econ. 23(1), 5–16 (2019)
5. Omen Homepage.
https://omen.sg/detect-fraud-in-real-time-with-graph-databases/
. Accessed 13 June 2019