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Dynamic system crisis’s detecting using big data flow
P. 192–201.
The building and computer developing of the mathematical model of detecting of the crises modes in the non-linear dynamic systems that simulate the price formation in steel market, using big market real time data inflows. The exploring and the analysis of market risks in a sense of a loss of system’s stability (system crisis) and sharp fluctuations of the price with a large amplitude as the subject of the research.
In book
Aarhus: Aarhus University, 2014.