The top 10 challenges in extreme-scale visual analytics

Pak Chung Wong, Han Wei Shen, Christopher R. Johnson, Chaomei Chen, Robert B. Ross

Research output: Contribution to journalArticle

82 Citations (Scopus)

Abstract

A team of scientists and researchers discusses the top 10 challenges in extreme-scale visual analytics (VA). The discussion covers applying VA technologies to both scientific and nonscientific data, evaluating the problems and challenges from both technical and social perspectives.

Original languageEnglish
Article number6265057
Pages (from-to)63-67
Number of pages5
JournalIEEE Computer Graphics and Applications
Volume32
Issue number4
DOIs
Publication statusPublished - 2012 Aug 27

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

Cite this

Wong, P. C., Shen, H. W., Johnson, C. R., Chen, C., & Ross, R. B. (2012). The top 10 challenges in extreme-scale visual analytics. IEEE Computer Graphics and Applications, 32(4), 63-67. [6265057]. https://doi.org/10.1109/MCG.2012.87
Wong, Pak Chung ; Shen, Han Wei ; Johnson, Christopher R. ; Chen, Chaomei ; Ross, Robert B. / The top 10 challenges in extreme-scale visual analytics. In: IEEE Computer Graphics and Applications. 2012 ; Vol. 32, No. 4. pp. 63-67.
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The top 10 challenges in extreme-scale visual analytics. / Wong, Pak Chung; Shen, Han Wei; Johnson, Christopher R.; Chen, Chaomei; Ross, Robert B.

In: IEEE Computer Graphics and Applications, Vol. 32, No. 4, 6265057, 27.08.2012, p. 63-67.

Research output: Contribution to journalArticle

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