• DocumentCode
    2290062
  • Title

    An Interactive, 3D Visual Exploration Tool for Undirected Relationships

  • Author

    Lim, SeungJin

  • Author_Institution
    Comput. Sci., Utah State Univ., Logan, UT
  • fYear
    2008
  • fDate
    15-17 Dec. 2008
  • Firstpage
    460
  • Lastpage
    467
  • Abstract
    Many relationships in data mining such as frequent itemsets and similarity are undirected. An effective visualization of such relationships at a large scale offers a valuable visual feedback about the dataset or data mining results to the user by which the user´s understanding of the target information is greatly enhanced. We present a highly interactive 3D visual data exploration tool with a high graphical quality in this paper. Visual data exploration using this tool on various real and synthetic datasets in main memory was effective and promising.
  • Keywords
    data mining; visual databases; 3D visual exploration tool; data mining; target information; undirected relationships; visual data exploration; visual feedback; Association rules; Data mining; Data visualization; Feedback; Frequency; Histograms; Iris; Itemsets; Scattering; Social network services; visual data mining; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
  • Conference_Location
    Berkeley, CA
  • Print_ISBN
    978-0-7695-3454-1
  • Electronic_ISBN
    978-0-7695-3454-1
  • Type

    conf

  • DOI
    10.1109/ISM.2008.126
  • Filename
    4741207