• DocumentCode
    3467590
  • Title

    Research of reverse nearest neighbor query technology in spatial objects

  • Author

    Yu, Hongkui ; Yang, YanPing ; Cao, Lijun ; Pei, CaiYan

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Hebei Normal Univ. of Sci. & Technol., Qinhuangdao, China
  • Volume
    2
  • fYear
    2009
  • fDate
    5-6 Dec. 2009
  • Firstpage
    217
  • Lastpage
    220
  • Abstract
    In the past, the query based on R tree index structure, in the case of high-dimensional, the speed of the query decline sharply, a ¿dimension disaster¿, in this paper a new index structure-VAR tree is proposed, and the algorithm of anti-nearest neighbor and nearest neighbor queries based on the index structure is proposed, in order to enhance the query efficiency of the reverse nearest neighbor queries in high-dimensional space.
  • Keywords
    learning (artificial intelligence); query processing; visual databases; R tree index structure; VAR tree index structure; reverse nearest neighbor query technology; spatial objects; Approximation algorithms; Computer science; Electronic mail; Extraterrestrial measurements; Filters; Nearest neighbor searches; Reactive power; Testing; Vector quantization; Velocity measurement; SR-tree; VAR-tree; nearest neighbors query;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Test and Measurement, 2009. ICTM '09. International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4699-5
  • Type

    conf

  • DOI
    10.1109/ICTM.2009.5413070
  • Filename
    5413070