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dc.contributor.authorBernataviˇ cien˙ e, Jolita-
dc.contributor.authorBazileviˇ cius, Gediminas-
dc.contributor.authorDzemyda, Gintautas-
dc.contributor.authorMedvedev, Viktor-
dc.date.accessioned2013-11-15T07:09:14Z-
dc.date.available2013-11-15T07:09:14Z-
dc.date.issued2013-
dc.identifier.citationComputer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 1. — Minsk, 2013. — P. 17-20ru
dc.identifier.urihttp://elib.bsu.by/handle/123456789/51926-
dc.description.abstractIn this paper, we analyse the similarity measures for comparison of medical streaming data (MSD). In general, the real time streaming data can be inter- preted as the multivariate time series. In medicine, the comparison of patient physiological MSD data can be useful in disease detection. Four similarity mea- sures Correlation Coefficient, Frobenius norm, Principal Component Analysis similarity factor, Multidimensional Dynamic Time Warping are presented and the experiments of the comparison of these measures have been performed.ru
dc.language.isoenru
dc.publisherMinsk : Publ. center of BSUru
dc.subjectЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатикаru
dc.subjectЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение-
dc.titleComparative analysis of similarity measures for medical streaming dataru
Appears in Collections:2013. Computer Data Analysis and Modeling. Vol 1
Vol. 1

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