Rough set data mining of diabetes data

Author:

Stepaniuk Jaroslaw

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Bazan J.G.: A comparison of dynamic and non-dynamic rough set methods for extracting laws from decision tables. [in:] L. Polkowski, A. Skowron, (eds.), Rough Sets in Knowledge Discovery 1. Methodology and Applications. Physica-Verlag, Heidelberg, 1998, pp. 321–365.

2. Carlin U.S., Komorowski J., Ohrn A.: Rough Set Analysis of Patients with Suspected Acute Appendicitis, Proceedings of IPMU’98, Paris, France, July 1998, pp. 1528–1533.

3. Kohavi R., John G.H.: Wrappers for Feature Subset Selection, Artificial Intelligence Journal, 97, 1997, pp. 273–324.

4. Proceedings of the 13th International Joint Conference on Artificial Intelligence;P. Langley,1993

5. Nguyen H.S., Nguyen S.H.: Discretization Methods in Data Mining, [in:] L. Polkowski, A. Skowron (eds.): Rough Sets in Knowledge Discovery 1. Methodology and Applications. Physica-Verlag, Heidelberg 1998, pp. 451–482.

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