• DocumentCode
    436605
  • Title

    A virtual 3D data exploration environment based on octree

  • Author

    Kong, Lingwei ; Hu, Jun

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiao Tong Univ., China
  • Volume
    2
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    1630
  • Abstract
    The advantage of visual data exploration is that the user is directly involved in the process of data mining. There are a large number of information visualization techniques, which have been developed over the last decade to support the exploration of large data sets. The octree representation is a well-known hierarchical data structure that can be used to partition the 3D space into cubic voxels of varying sizes. In this paper, we describe a new approach that uses octree technique into data mining system, and design a 3D data exploration environment.
  • Keywords
    data mining; data visualisation; information analysis; octrees; very large databases; visual databases; data mining; hierarchical data structure; information analysis; information visualization; octree representation; very large databases; virtual 3D data exploration; Artificial intelligence; Data mining; Data structures; Data visualization; Feedback; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1441644
  • Filename
    1441644