A knowledge rule-based generator

• Autorzy: Mazurkiewicz A. , Krawczyk H.
• Języki publikacji: EN

Abstrakty

EN

The paper presents some recommendation for plug-ins that can be implemented in the Endoscopy Recommender System (ERS). A work cycle of such plug-ins is also described. Some experiments with sample symptoms are performed. Finally the obtained results are given as well.

Słowa kluczowe

EN

knowledge discovery; data mining; gastrointestinal diseases symptoms

PL

odkrywanie wiedzy; eksploracja danych; objawy chorób przewodu pokarmowego

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2001
• Tom: Vol. 2, Part. 1
• Strony: MI95--MI100
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Mazurkiewicz A.

• Technical University of Gdańsk, 80-952 Gdańsk, G.Narutowicza str. 11/12, Poland

autor

Krawczyk H.

• Technical University of Gdańsk, 80-952 Gdańsk, G.Narutowicza str. 11/12, Poland

Bibliografia

• [1] ARNOLD K, GOSSLING J., The Java Programming Language, Addison Wesley, Mass., 1997.
• [2] FAYYAD U., HAUSSLER D., STOLORZ P., Mining Scientific Data. Communications of the ACM, Nov / Vol. 39, Noll, 1996.
• [3] GAL A., ETZION 0., Maintaining Data-Driven Rules in Databases. Computer, January 1995.
• [4] KNOPA R., KRAWCZYK H., et al, Web-based Endoscopy Recommender System - ERS. Proc. of IEEE Conference on Parallel Computing in Elec. Engineering, Trois Rivieres, Quebec, Canada, 2000.
• [5] QUINLAN J.R., Induction of Decision Trees. Reprint in SHAVLIK J., DIETRICH T.G., Readings in Machine Learning, Morgan Kaufmann, 1990.
• [6] WITTEN 1.H., FRANK E., Data Mining. Morgan Kaufmanns Publishers, San Francisco, California, 2000.