Big-data visualization

Daniel Keim; Huamin Qu; Kwan-Liu Ma

doi:10.1109/MCG.2013.54

Big-data visualization

Daniel Keim, Huamin Qu, Kwan-Liu Ma

Computer Science

Research output: Contribution to journal › Review article › peer-review

91 Scopus citations

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.

Original language	English (US)
Article number	6562707
Pages (from-to)	20-21
Number of pages	2
Journal	IEEE Computer Graphics and Applications
Volume	33
Issue number	4
DOIs	https://doi.org/10.1109/MCG.2013.54
State	Published - Aug 2 2013

Keywords

big data
climate simulation
computer graphics
connectome
hybrid display environments
Madden-Julian oscillation
visual analytics
visualization

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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KW - hybrid display environments

KW - Madden-Julian oscillation

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Big-data visualization

Abstract

Keywords

ASJC Scopus subject areas

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