• DocumentCode
    1818012
  • Title

    Progressive parallel coordinates

  • Author

    Rosenbaum, René ; Zhi, Jian ; Hamann, Bernd

  • Author_Institution
    Dept. of Comput. Sci., Univ. of California, Davis, CA, USA
  • fYear
    2012
  • fDate
    Feb. 28 2012-March 2 2012
  • Firstpage
    25
  • Lastpage
    32
  • Abstract
    Progressive refinement is a methodology that makes it possible to elegantly integrate scalable data compression, access, and presentation into one approach. Specifically, this paper concerns the effective use of progressive parallel coordinates (PPCs), utilized routinely for high-dimensional data visualization. It discusses how the power of the typical stages of progressive data visualization can also be utilized fully for PPCs. Further, different implementations of the underlying methods and potential application domains are described. The paper also presents empirical results concerning the benefits of PPC with regard to efficient data management and improved presentation, indicating that the proposed approach is able to close the gap between data handling and visualization.
  • Keywords
    data handling; data visualisation; data access; data compression; data handling; data management; data presentation; high-dimensional data visualization; progressive parallel coordinate; progressive refinement; Lead; Logic gates; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization Symposium (PacificVis), 2012 IEEE Pacific
  • Conference_Location
    Songdo
  • ISSN
    2165-8765
  • Print_ISBN
    978-1-4673-0863-2
  • Electronic_ISBN
    2165-8765
  • Type

    conf

  • DOI
    10.1109/PacificVis.2012.6183570
  • Filename
    6183570