• DocumentCode
    119645
  • Title

    NStreamAware: Real-Time visual analytics for data streams (VAST Challenge 2014 MC3)

  • Author

    Fischer, Fabian ; Stoffel, Florian

  • Author_Institution
    University of Konstanz
  • fYear
    2014
  • fDate
    25-31 Oct. 2014
  • Firstpage
    373
  • Lastpage
    374
  • Abstract
    To solve the VAST Challenge 2014 MC3 we use NStreamAware, which is our real-time visual analytics system to analyze data streams. We make use of various modern technologies like Apache Spark and others to provide high scalability and incorporate new technologies and show their use within visual analytics applications. Furthermore, we developed a web application, called NVisAware, to analyze and visualize data streams to help the analyst to focus on the most important time segments. We extracted so-called sliding slices, which are aggregated summaries calculated on a sliding window and represent them in a small-multiple like visualization containing various small visualizations (e.g., word clouds) to present an overview of the current time segment. We show how these techniques can be used to successfully solve the given tasks.
  • 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.2014.7042572
  • Filename
    7042572