yu issn 1450-863 x godina xiii broj 1 / 2011. - horizonti.ekfak.kg.ac.rs

EKONOMSKI HORIZONTI, 2011, 13, (1)
distance. Therefore, the essence of segmentation problem is reflected in finding the
optimal approximation for which the error function is minimal. In fact, the optimal
segmentation of time series, for the defined parameters is defined as the
segmentation that results in the lowest segmentation error in relation to other
possible combinations of segmentation. Finding the optimal solution is a complex
iterative process composed of a series of sub-processes, phases, and activities that
transform inputs into output elements. Therefore, the time series segmentation
process consists of the following phases:
feature reduction of input time series;
segmentation of extracted time series;
selection of the optimal segmentation.
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