• DocumentCode
    2704621
  • Title

    A new tree type data structure with homogeneous nodes suitable for a very large spatial database

  • Author

    Ohsawa, Yutaka ; Sakauchi, Masao

  • Author_Institution
    Inst. of Ind. Sci., Tokyo Univ., Japan
  • fYear
    1990
  • fDate
    5-9 Feb 1990
  • Firstpage
    296
  • Lastpage
    303
  • Abstract
    A new dynamic data structure for spatial retrieval called a GBD tree is proposed. The GBD tree is systematically constructed using homogeneous nodes with a small amount of extra data called a DZ expression which plays an important role in efficient multiway recursive division of N-dimensional space. On the GBD tree, CPU cost during insertion and deletion is much smaller than on an R-tree, while attaining higher spatial retrieval efficiency
  • Keywords
    computer graphics; data structures; database management systems; information retrieval systems; trees (mathematics); CPU cost; DZ expression; GBD tree; N-dimensional space; R-tree; deletion; dynamic data structure; efficient multiway recursive division; homogeneous nodes; insertion; retrieval efficiency; spatial retrieval; tree type data structure; very large spatial database; Binary trees; Computer industry; Costs; Data handling; Data structures; Information retrieval; Pattern recognition; Spatial databases; Tree data structures; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 1990. Proceedings. Sixth International Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    0-8186-2025-0
  • Type

    conf

  • DOI
    10.1109/ICDE.1990.113481
  • Filename
    113481