Methods of intelligent data analysis in complex systems
News of the Kabardin-Balkar scientific center of RAS, no. 3 (2012), pp. 52-57.

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This article contains information about application of MDX requests for the intellectual data analysis for support of decision-making and about using the simulation Petri nets at intellectual analysis for decision-making problems in complex dynamic systems. The advantages of simulation models in the analysis of a priori information about the state of a complex object and the dynamics of its development under the impact of environmental factors were described. We considered an abstract example of a network function on the three sets a priori information. We described the prospects of applying this approach to representation and extraction knowledge from different subject areas.
Keywords: decision-making, uncertainty, knowledge extraction, simulation modeling, intelligent data analysis.
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Yu. A. Kravchenko; A. A. Lezhebokov; D. Y. Zaporozhets. Methods of intelligent data analysis in complex systems. News of the Kabardin-Balkar scientific center of RAS, no. 3 (2012), pp. 52-57. http://geodesic.mathdoc.fr/item/IZKAB_2012_3_a7/

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