Visual Data Models in Scientific Search for Interpretation of Multiparametric Signals; Communications in Computer and Information Science; Vol. 1909 : Creativity in Intelligent Technologies and Data Science

Visual Data Models in Scientific Search for Interpretation of Multiparametric Signals; Communications in Computer and Information Science; Vol. 1909 : Creativity in Intelligent Technologies and Data Science

Bibliographische Detailangaben
Parent link:Communications in Computer and Information Science.— .— Cham: Springer-Verlag
Vol. 1909 : Creativity in Intelligent Technologies and Data Science.— 2023.— P. 117-130
1. Verfasser: Zakharova A. A. Alena Alexandrovna
Körperschaft: National Research Tomsk Polytechnic University
Weitere Verfasser: Shklyar A. V. Aleksey Viktorovich, Vehter E. V. Eugeniya Viktorovna
Zusammenfassung: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
Sprache:Englisch
Veröffentlicht: 2023
Schlagworte:
электронный ресурс
труды учёных ТПУ
visual metaphor
scientific visualization
heterogeneous data analysis
Online-Zugang:https://doi.org/10.1007/978-3-031-44615-3_8
Format: Elektronisch Buchkapitel
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=672782

Ähnliche Einträge

Ähnliche Einträge