Visual Detection of Internal Patterns in the Empirical Data / A. A. Zakharova, E. V. Vehter, А. В. Шкляр, D. A. Zavyalov
Уровень набора: Communications in Computer and Information ScienceЯзык: английский.Резюме или реферат: The article proposes the solution of the problem of the multidimensional data research. The purpose of such research is detection of internal regularities in initial data, what increases the level of knowledge and understanding the essence by the researcher. The possibilities of using visual data models to achieve this goals are shown. Results of practical use of visual analysis of multidimensional data for justification of the choice of not determined parameters for modeling and designing oil and gas fields using given analogies. High productivity of the developed approach for solving problems of the multidimensional data analysis was confirmed..Примечания о наличии в документе библиографии/указателя: [References: 14 tit.].Аудитория: .Тематика: электронный ресурс | труды учёных ТПУ | когнитивная графика | визуализация | системы поддержки принятия решений | интерпретация | визуальные модели Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: 14 tit.]
The article proposes the solution of the problem of the multidimensional data research. The purpose of such research is detection of internal regularities in initial data, what increases the level of knowledge and understanding the essence by the researcher. The possibilities of using visual data models to achieve this goals are shown. Results of practical use of visual analysis of multidimensional data for justification of the choice of not determined parameters for modeling and designing oil and gas fields using given analogies. High productivity of the developed approach for solving problems of the multidimensional data analysis was confirmed.
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