61894

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Visual modeling in an analysis of multidimensional data

Электронная публикация: 

Да

ISBN/ISSN: 

17426588

DOI: 

10.1088/1742-6596/944/1/012127

Наименование конференции: 

  • 11th International Scientific and Technical Conference on Applied Mechanics and Dynamics Systems (AMSD, 2018)

Наименование источника: 

  • Proceeding of the 11th International Scientific and Technical Conference on Applied Mechanics and Dynamics Systems (AMSD, 2018)

Обозначение и номер тома: 

944 (1)

Город: 

  • Амстердам

Издательство: 

  • Institute of Physics Publishing

Год издания: 

2018

Страницы: 

10.1088/1742-6596/944/1/012127/pdf
Аннотация
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. © Published under licence by IOP Publishing Ltd.

Библиографическая ссылка: 

Захарова А.А., Вехтер Е.В., Шкляр А.В., Пак А.Я. Visual modeling in an analysis of multidimensional data / Proceeding of the 11th International Scientific and Technical Conference on Applied Mechanics and Dynamics Systems (AMSD, 2018). Амстердам: Institute of Physics Publishing, 2018. 944 (1). С. 10.1088/1742-6596/944/1/012127/pdf.