1. Classification and Regression Trees;Breiman,1984
2. Chan, P.K., Stolfo, S.J., 1998. Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection. In: Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, pp. 164–168.
3. Chawla, N.V., 2003. C4.5 and imbalanced data sets: Investigating the effect of sampling method, probabilistic estimate, and decision tree structure. In: Proceedings of the Workshop on Learning from Imbalanced Data Sets, ICML, Washington DC.
4. Approximate statistical tests for comparing supervised classification learning algorithms;Dietterich;Neural Comput.,1998
5. Domingos, P., 1997. Knowledge acquisition from examples via multiple models. In: Proceedings of the 14th International Conference on Machine Learning. Nashville, TN, pp. 98–106.