• DocumentCode
    119606
  • Title

    VAST challenge 2014: Mini-challenge 1

  • Author

    Song, Qiang ; Li, Rui ; Yin, Peng

  • Author_Institution
    University of Chinese Academy of Sciences
  • fYear
    2014
  • fDate
    25-31 Oct. 2014
  • Firstpage
    329
  • Lastpage
    330
  • Abstract
    In this paper, we address the Mini Task I of Min-Challenge I, pluging in knowledge and some techniques of data mining and information visualization into our assignment. The background of Mini-Challenge I describes a virtual story of a famous gas company(GAStech), which had suffered employees missing during company celebration, asking for help to find out the suspicious criminals. As an analyst, our task is to use visual analytics to analyze the available data and develop responses to the questions. By using Matlab, Python and D3.js, we gave out a reasonable conclusion and proper answers to the questions.
  • Keywords
    Data mining; information visualization;
  • 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.2014.7042550
  • Filename
    7042550