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July-Aug. 2013 (vol. 33 no. 4)
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.
Index Terms:
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
Citation:
Daniel Keim, Huamin Qu, Kwan-Liu Ma, "Big-Data Visualization," IEEE Computer Graphics and Applications, vol. 33, no. 4, pp. 20-21, July-Aug. 2013, doi:10.1109/MCG.2013.54
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