Visual modeling in an analysis of multidimensional data; Journal of Physics: Conference Series; Vol. 944 : Applied Mechanics and System Dynamics

Visual modeling in an analysis of multidimensional data; Journal of Physics: Conference Series; Vol. 944 : Applied Mechanics and System Dynamics

Bibliographic Details
Parent link:Journal of Physics: Conference Series
Vol. 944 : Applied Mechanics and System Dynamics.— 2017.— [012127, 5 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение автоматизации и робототехники (ОАР)
Other Authors: Zakharova A. A. Alena Alexandrovna, Vehter E. V. Eugeniya Viktorovna, Shklyar A. V. Aleksey Viktorovich, Pak A. Ya. Aleksandr Yakovlevich
Summary: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.
Language:English
Published: 2017
Subjects:
электронный ресурс
труды учёных ТПУ
визуальное моделирование
анализ
многомерные данные
Online Access:https://doi.org/10.1088/1742-6596/944/1/012127
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657938

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