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Issue No. 04 - July-Aug. (2013 vol. 33)
ISSN: 0272-1716
pp: 20-21
Daniel Keim , University of Konstanz
Huamin Qu , Hong Kong University of Science and Technology
Kwan-Liu Ma , University of California, Davis
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.
Special issues and sections, Visualization, Visual analytics, Climatology, Data handling, Data models, computer graphics, big data, visualization, visual analytics, Madden-Julian oscillation, climate simulation, hybrid display environments, connectome

K. Ma, H. Qu and D. Keim, "Big-Data Visualization," in IEEE Computer Graphics and Applications, vol. 33, no. , pp. 20-21, 2013.
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