• DocumentCode
    46648
  • Title

    Big-Data Visualization

  • Author

    Keim, Daniel ; Qu, Huamin ; Ma, Kwan-Liu

  • Author_Institution
    University of Konstanz
  • Volume
    33
  • Issue
    4
  • fYear
    2013
  • fDate
    July-Aug. 2013
  • Firstpage
    20
  • Lastpage
    21
  • 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.
  • Keywords
    Climatology; Data handling; Data models; Special issues and sections; Visual analytics; Visualization; Madden-Julian oscillation; big data; climate simulation; computer graphics; connectome; hybrid display environments; visual analytics; visualization;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2013.54
  • Filename
    6562707
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=46648