Big-data visualization

Daniel Keim, Huamin Qu, Kwan-Liu Ma

Research output: Contribution to journalReview article

79 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 languageEnglish (US)
Article number6562707
Pages (from-to)20-21
Number of pages2
JournalIEEE Computer Graphics and Applications
Volume33
Issue number4
DOIs
StatePublished - 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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