Visual modeling in an analysis of multidimensional data

Visual modeling in an analysis of multidimensional data

מידע ביבליוגרפי
Parent link:Journal of Physics: Conference Series
Vol. 944 : Applied Mechanics and System Dynamics.— 2017.— [012127, 5 p.]
מחברים אחרים: Zakharova A. A. Alena Alexandrovna, Vehter E. V. Eugeniya Viktorovna, Shklyar A. V. Aleksey Viktorovich, Pak A. Ya. Aleksandr Yakovlevich
סיכום:Title screen
The article proposes an approach to solve visualization problems and the subsequent analysis of multidimensional data. Requirements to the properties of visual models, which were created to solve analysis problems, are described. As a perspective direction for the development of visual analysis tools for multidimensional and voluminous data, there was suggested an active use of factors of subjective perception and dynamic visualization. Practical results of solving the problem of multidimensional data analysis are shown using the example of a visual model of empirical data on the current state of studying processes of obtaining silicon carbide by an electric arc method. There are several results of solving this problem. At first, an idea of possibilities of determining the strategy for the development of the domain, secondly, the reliability of the published data on this subject, and changes in the areas of attention of researchers over time.
שפה:אנגלית
יצא לאור: 2017
נושאים:
электронный ресурс
труды учёных ТПУ
визуальное моделирование
анализ
многомерные данные
גישה מקוונת:https://doi.org/10.1088/1742-6596/944/1/012127
פורמט: אלקטרוני Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657938

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