Visual Data Models in Scientific Search for Interpretation of Multiparametric Signals
| Parent link: | Communications in Computer and Information Science.— .— Cham: Springer-Verlag Vol. 1909 : Creativity in Intelligent Technologies and Data Science.— 2023.— P. 117-130 |
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| Summary: | Title screen Modern visualization methods are used to convey information about an object or process and as a tool for search and decision-making process. Data and signals, in analog and digital form, are only valuable if they are analyzed for a specific goal. In this work we etablish the classification of visualization tasks from the point of analyzing heterogeneous multidimensional data, including the case when at the initial stage it is required to formulate a research hypothesis. A classification of visualization metaphors is presented, which is necessary for a conscious choice of tools for visualization and data analysis. This is important for understanding and managing the interpretability of information, the formation of the correct meaning and operational understanding. We demonstrate examples of static and dynamic models of visualization. Based on the semantic model and proposed classification, the principles of visual metaphors formation for solving several applied tasks in various fields of knowledge (oil and gas production, biomedicine, materials science, education, management, etc.) are formulated. Текстовый файл AM_Agreement |
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2023
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| Online Access: | https://doi.org/10.1007/978-3-031-44615-3_8 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=672782 |