1. C.X. Ling, V.S. Sheng, Class imbalance problem, in Encyclopedia of Machine Learning, ed. by C. Sammut, G.I. Webb (Springer, Boston, MA, 2011)
2. D.A. Cieslak, N.V. Chawla, A. Striegel, Combating imbalance in network intrusion datasets, in IEEE International Conference on Granular Computing (2006), pp. 732–737
3. N. Japkowicz, The class imbalance problem: significance and strategies, in Proceedings of International Conference on Artificial Intelligence (2000), pp. 111–117
4. A. Gosain, A. Saha, D. Singh, Analysis of sampling based classification techniques to overcome class imbalancing, in Proceedings of the 10th INDIACom-2016 IEEE International Conference (2016), pp. 7320–7326
5. B. Krawczyk, Learning from imbalanced data: open challenges and future directions. Prog. Artif. Intell. 5(4), 221–232 (2016).
https://doi.org/10.1007/s13748-016-0094-0