3[1]Han J,Kambr M.Data Mining:Concepts and Techniques[M].Beijing Higher Education Press,2001.
4[3]Agrawal R,Mannila H,Srikant R,et al.Fast discovery of association rules:Advances in knowledge discovery and data mining[M].California:MIT Press,1996:307-328.
5[4]Sanjay Soni Unisys,Zhaohui Tang Microsoft Corporation,Jim Yang Microsoft Corporation Performance Study of Microsoft Data Mining Algorithms August,2001.
6[9]Pawlak Z.Rough Set Theory and its Applications to Data Analysi[J].Cybernetics and syst,1998,29(7):661-688.
7[10]Tsumoto S.Automated discovery of positive and negative knowledge in clinical database based on rough set model[J].IEEE EMB Magazine,2000,19(4):415-422.
8[1]A. B. Tickle, R. Andrews, M. Golea, et al. The Truth Will Come to Light: Directions and Challenges in Extracting the Knowledge Embedded Within Trained Artificial Neural Networks[J]. IEEE Trans. Neural Networks, 1998, 19: 1057-1068.
9[2]T. Kohonen, S. Kaski, K. Lagus, et al. Self Organization of a Massive Document Collection[J]. IEEE Trans. Neural Networks,2000, 11: 574-585.
10[3]V. Ciesielski, G. Palstra. Using a Hybrid Neural/Expert System for Database Mining in Market Survey Data[A]. Proc. Second International Conference on Knowledge Discovery and Data Mining(KDD-96)[C]. Portland: AAAI Press, 1996. 38.
