• DocumentCode
    2795979
  • Title

    Irregular Trend Finder: Visualization tool for analyzing time-series big data

  • Author

    Takeda, Shinnosuke ; Kobayashi, Aimi ; Kobayashi, Hiroaki ; Okubo, Saori ; Misue, Kazuo

  • Author_Institution
    University of Tsukuba, Japan
  • fYear
    2012
  • fDate
    14-19 Oct. 2012
  • Firstpage
    305
  • Lastpage
    306
  • Abstract
    We created a visualization tool called Irregular Trend Finder (ITF) for the VAST Challenge 2012 Mini Challenge 1. ITF is an interactive tool designed for analyzing large amounts of data with times-tamp and hierarchy structure in mind, so that a user can see the overview first, and then obtain more detailed information. We discovered the answers for the Challenge, and confirmed that overview first and then looking in detail is an efficient method to seek particular information in case of large amounts of data.
  • Keywords
    Anomaly Finder; Big Data; Information Visualisation; Time-series Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4673-4752-5
  • Type

    conf

  • DOI
    10.1109/VAST.2012.6400504
  • Filename
    6400504
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2795979