• DocumentCode
    3134362
  • Title

    All-nearest-neighbors queries in spatial databases

  • Author

    Zhang, Jun ; Mamoulis, Nikos ; Papadias, Dimitris ; Tao, Yufei

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2004
  • fDate
    21-23 June 2004
  • Firstpage
    297
  • Lastpage
    306
  • Abstract
    Given two sets A and B of multidimensional objects, the all-nearest-neighbors (ANN) query retrieves for each object in A its nearest neighbor in B. Although this operation is common in several applications, it has not received much attention in the database literature. In this paper we study alternative methods for processing ANN queries depending on whether A and B are indexed: Our algorithms are evaluated through extensive experimentation using synthetic and real datasets. The performance studies show that they are an order of magnitude faster than a previous approach based on closest-pairs query processing.
  • Keywords
    database indexing; query processing; visual databases; ANN query processing; all-nearest-neighbors queries; closest-pairs query processing; database indexing; multidimensional objects; spatial databases; Application software; Computational geometry; Computer science; Data engineering; Information retrieval; Information systems; Multidimensional systems; Nearest neighbor searches; Query processing; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Scientific and Statistical Database Management, 2004. Proceedings. 16th International Conference on
  • ISSN
    1099-3371
  • Print_ISBN
    0-7695-2146-0
  • Type

    conf

  • DOI
    10.1109/SSDM.2004.1311221
  • Filename
    1311221