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Real time series are usually disturbed by random noise and the presence of noise in the data can significantly affect the characteristics of dynamic system. The aim of the article will be to research the effect of re duction of random noise by the nearest neighbor method on the identification of chaos in time series. The test will be conducted on the basis of selected financial time series.
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