Big-Data Visualization

被引：78
|
作者：
Keim, Daniel [1 ]
Qu, Huamin [2 ]
Ma, Kwan-Liu [3 ,4 ]
机构：
[1] Univ Konstanz, Informat Visualizat & Data Anal Res Grp, Dept Comp Sci, Constance, Germany
[2] Hong Kong Univ Sci & Technol, Dept Comp Sci & Engn, Hong Kong, Hong Kong, Peoples R China
[3] Univ Calif Davis, Visualizat St Interface Design Innovat Res Grp, Davis, CA 95616 USA
[4] Univ Calif Davis, Ctr Visualizat, Davis, CA 95616 USA
来源：
IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2013年 / 33卷 / 04期
关键词：
big data; climate simulation; computer graphics; connectome; hybrid display environments; Madden-Julian oscillation; visual analytics; visualization;
D O I：
10.1109/MCG.2013.54
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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. © 1981-2012 IEEE.
引用
收藏
页码：20 / 21
页数：2
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