• DocumentCode
    2796295
  • Title

    OWLAP — Using OLAP approach in anomaly detection: Award: Good support for the data preparation, analysis, and presentation process

  • Author

    Dudas, Levente ; Fekete, Zs. ; Gobolos-Szabo, J. ; Radnai, A. ; Salanki, A. ; Szabo, Aron ; Szucs, G.

  • Author_Institution
    Computer and Automation Research Institute (MTA SZTAKI), Hungarian Academy of Sciences
  • fYear
    2012
  • fDate
    14-19 Oct. 2012
  • Firstpage
    267
  • Lastpage
    268
  • Abstract
    OWLAP (Operative Workbench for Large-scale Analytics and Presentation) is a visual analytics tool that allows the user to browse and drill down the multidimensional data on-line with the possibility to export result into a zooming presentation framework. We address the challenges of multidimensional visualization by aiding the cognitively hard task of understanding attributes, finding patterns and outliers. We successfully solved the challenge of real time Big Data OLAP reporting by a home developed multithreaded inmemory database manager. Our additional focus is the automatic management of summary preparation that we aid by scripting the presentation framework of Prezi Inc.
  • Keywords
    H.2.1 [Information Systems]: Database Management — Logical Design; H.5.2 [Information Systems]: Information Interfaces and Presentation — User Interfaces;
  • 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.2012.6400523
  • Filename
    6400523