• DocumentCode
    119640
  • Title

    Making sense of daily life data: From commonalities to anomalies: VAST 2014 Mini Challenge #2

  • Author

    Wang, Ji ; Mi, Peng ; North, Chris

  • Author_Institution
    Virginia Tech
  • fYear
    2014
  • fDate
    25-31 Oct. 2014
  • Firstpage
    365
  • Lastpage
    366
  • Abstract
    In this paper, we report the approach and results on the VAST 2014 Mini-Challenge 2: Analysis Movement and Tracking data of GAStech Employees´ daily lives. Based on the commercial interactive visualization software Tableau[l], we follow the sense-making loop for analysis of the massive multi-dimensional, multi-source and time-varying data sets. The findings show that we can effectively identify the patterns and discovery the anomaly from these complex data sets.
  • Keywords
    Geo-visualization; human information interaction; intelligence analysis; sense-making loop; visual analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
  • Conference_Location
    Paris, France
  • Type

    conf

  • DOI
    10.1109/VAST.2014.7042568
  • Filename
    7042568
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=119640