• DocumentCode
    2888706
  • Title

    Cubix: A Visual Analytics Tool for Conceptual and Semantic Data

  • Author

    Melo, Carolina ; Mikheev, Andrei ; Le-Grand, B. ; Aufaure, Marie-Aude

  • Author_Institution
    MAS - Ecole Centrale Paris, Chatenay-Malabry, France
  • fYear
    2012
  • fDate
    10-10 Dec. 2012
  • Firstpage
    894
  • Lastpage
    897
  • Abstract
    This paper presents Cubix, a Formal Concept Analysis (FCA)-based analytics tool for Business Intelligence. The main purpose of Cubix is to provide novel ways of applying visual analytics in which meaningful diagrammatic representations will be used for manipulating, filtering and visually querying complex data. We present its main features, typical applications and future steps towards an advanced FCA-based visual analytics.
  • Keywords
    data analysis; data visualisation; formal concept analysis; information filtering; Cubix; FCA-based visual analytics tool; business intelligence; complex data filtering; complex data manipulation; conceptual data; formal concept analysis-based analytics tool; semantic data; visually complex data query; Association rules; Context; Data visualization; Lattices; Semantics; Visual analytics; Association Rules; Formal Concept Analysis; Visual Analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
  • Conference_Location
    Brussels
  • Print_ISBN
    978-1-4673-5164-5
  • Type

    conf

  • DOI
    10.1109/ICDMW.2012.41
  • Filename
    6406539