A formal approach to rules interpretation working in medical databases

• Autorzy: Ossowski A.
• Języki publikacji: EN

Abstrakty

EN

Finite collections of data analysed by using statistical and/or data mining techniques are usually discrete representations of a continuous reality. Therefore the fundamental question arise whether rules and regularities discovered in data bases are fictive or describe essential properties of the real world. In order to answer this question a more general “continuous” insight into the problem of data representation, acquisition and analysis is necessary. A formal philosophical/mathematical approach to rules in data bases has been presented in this work. Ontological and epistemological ideas have been described in terms of differential geometry and topology. Various types of rules (geometric and non-geometric) in medical databases have been distinguished. The usefulness of the obtained results to the problem interpretation of medical data has been pointed out.

Słowa kluczowe

EN

space of objects; differentiable manifold; correlation; data mining; rules in data bases

PL

przestrzeń obiektów; rozmaitości różniczkowe; korelacja; eksploracja danych

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2001
• Tom: Vol. 2, Part. 1
• Strony: MI139--MI145
• Opis fizyczny: Bibliogr. 5 poz., rys.

Twórcy

autor

Ossowski A.

• Institute of Fundamental Technological Research PAS, 00-049 Warszawa, ul Świętokrzyska 21

Bibliografia

• [1] ŻYTKOW J.M., Discovery of concept expansions. Inteligent Information Systems VIII, pp. Proceedings of the Workshop held in Ustroń, Poland, 14-18 June, 1999.
• [2] OSSOWSKI A., ŻYTKOW J.M., Geometrical approach to a coherent set of operational definitions, Advances in Soft Computing, Intelligent Information Systems, pp. 109-117, Physica-Verlag, 2000.
• [3] WALLACE A.H., Differential geometry, W.A. Benjamin, Inc., New York, Amsterdam 1967.
• [4] OSSOWSKI A., Geometria baz danych, IV Krajowa Konferencja Naukowa nt. Sztuczna Inteligencja, SzI-15'2000, Siedlce-Warszawa, 2000.
• [5] BROCKER TH., LAUDER L., Differential germs and catastrophes, Cambridge University Press, 1975.