1. Ezawa, K. J., Singh, M., Norton, S. W. (1996). Learning goal oriented networks for telecommunications risk management. Proceedings of the 13th International Conference on Machine Learning, Bari, Italy, July 3–6, 1996. Avaliable at
ftp://ftp.cis.upenn.edu/pub/msingh/ml96_alt.ps.Z
2. Pawlak, Z. (1991). Rough Sets: Theoretical Aspects of Reasoning About Data. Dordrecht: Kluwer Academic Publishers.
3. Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T., Brunk, C. (1994). Reducing misclassification costs. Proceedings of the 11th International Conference on Machine Learning (pp. 217–225). Morgan Kaufmann.
4. Piasta, Z., Lenarcik, A. (1996), Rule induction with probabilistic rough classifiers. ICS Research Report 24/96, Warsaw University of Technology, to appear in Machine Learning.
5. Piasta, Z., Lenarcik, A. (1998), Learning rough classifiers from large databases with missing values. In: L. Polkowski, A. Skowron (eds): Rough Sets in Knowledge Discovery. Physica-Verlag (Springer), forthcoming.