• DocumentCode
    119525
  • Title

    PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods

  • Author

    Jaegul Choo ; Changhyun Lee ; Hannah Kim ; Hanseung Lee ; Reddy, Chandan K. ; Drake, Barry L. ; Haesun Park

  • fYear
    2014
  • fDate
    25-31 Oct. 2014
  • Firstpage
    241
  • Lastpage
    242
  • Abstract
    A main bottleneck in integrating computational methods with visual analytics is their significant computational cost, which hinders real-time interactive visualization with them. To solve this, we present PIVE (Per-Iteration Visualization Environment), which visualizes intermediate results from algorithm iterations, thus allowing users to efficiently perform multiple interactions in real time.
  • Keywords
    data visualisation; iterative methods; real-time systems; PIVE; algorithm iterations; computational cost; computational methods; per-iteration visualization environment; real-time interactions; visual analytics; Clustering algorithms; Data visualization; Instruction sets; Real-time systems; Stability analysis; Visual analytics; Real-time interaction; clustering; dimension reduction; large-scale visualization; multithreading; visual analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/VAST.2014.7042510
  • Filename
    7042510
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=119525