DocumentCode :
46648
Title :
Big-Data Visualization
Author :
Keim, Daniel ; Qu, Huamin ; Ma, Kwan-Liu
Author_Institution :
University of Konstanz
Volume :
33
Issue :
4
fYear :
2013
fDate :
July-Aug. 2013
Firstpage :
20
Lastpage :
21
Abstract :
Almost all fields of study and practice sooner or later will confront the big-data problem. Visualization has proven effective for not only presenting essential information in vast amounts of data but also driving complex analyses. Big-data analytics and discovery present new research opportunities to the computer graphics and visualization community. This special issue highlights the latest advancements in solving the big-data problem through visual means, with four articles on new techniques, systems, or applications.
Keywords :
Climatology; Data handling; Data models; Special issues and sections; Visual analytics; Visualization; Madden-Julian oscillation; big data; climate simulation; computer graphics; connectome; hybrid display environments; visual analytics; visualization;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2013.54
Filename :
6562707
Link To Document :
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