1. Asuncion, A., & Newman, D. J. (2007). UCI machine learning repository.
2. Blanchard, G., Schäfer, C., Rozenholc, Y., & Müller, K.-R. (2007). Optimal dyadic decision trees. Machine Learning, 66(2–3), 209–241.
3. Breiman, L., Friedman, J., Olshen, J., & Stone, C. (1984). Classification and regression trees. Belmont: Wadsworth.
4. Cormen, T. H., Leiserson, C. E., & Rivest, R. L. (1990). Introduction to algorithms. New York: McGraw-Hill.
5. Devroye, L., Györfi, L., & Lugosi, G. (1996). A probabilistic theory of pattern recognition. New York: Springer.