Data Reduction Techniques for Simulation, Visualization and Data Analysis.

Autor:	Clyne, J., Li, S., Marsaglia, N., Childs, H., Garth, C., Woodring, J.
Předmět:	SIMULATION methods & models VISUALIZATION DATA analysis DATA reduction LOSSY data compression
Zdroj:	Computer Graphics Forum; Sep2018, Vol. 37 Issue 6, p422-447, 26p, 3 Color Photographs, 8 Diagrams, 3 Charts, 2 Graphs
Abstrakt:	Abstract: Data reduction is increasingly being applied to scientific data for numerical simulations, scientific visualizations and data analyses. It is most often used to lower I/O and storage costs, and sometimes to lower in‐memory data size as well. With this paper, we consider five categories of data reduction techniques based on their information loss: (1) truly lossless, (2) near lossless, (3) lossy, (4) mesh reduction and (5) derived representations. We then survey available techniques in each of these categories, summarize their properties from a practical point of view and discuss relative merits within a category. We believe, in total, this work will enable simulation scientists and visualization/data analysis scientists to decide which data reduction techniques will be most helpful for their needs. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.