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Nearest Neighbor Queries.

Nick Roussopoulos, Stephen Kelley, Frédéic Vincent: Nearest Neighbor Queries. SIGMOD Conference 1995: 71-79
@inproceedings{DBLP:conf/sigmod/RoussopoulosKV95,
  author    = {Nick Roussopoulos and
               Stephen Kelley and
               Fr{\'e}d{\'e}ic Vincent},
  editor    = {Michael J. Carey and
               Donovan A. Schneider},
  title     = {Nearest Neighbor Queries},
  booktitle = {Proceedings of the 1995 ACM SIGMOD International Conference on
               Management of Data, San Jose, California, May 22-25, 1995},
  publisher = {ACM Press},
  year      = {1995},
  pages     = {71-79},
  ee        = {http://doi.acm.org/10.1145/223784.223794, db/conf/sigmod/RoussopoulosKV95.html},
  crossref  = {DBLP:conf/sigmod/95},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

A frequently encountered type of query in Geographic Information Systems is to find the k nearest neighbor objects to a given point in space. Processing such queries requires substantially different search algorithms than those for location or range queries. In this paper we present an efficient branch-and-bound R-tree traversaJ algorithm to find the nearest neighbor object to a point, and then generalize it to finding the k nearest neighbors. We also discuss metrics for an optimistic and a pessimistic search ordering strategy as well as for pruning. Finally, we present the results of several experiments obtained using the implementation of our algorithm and examine the behavior of the metrics and the scalabfity of the algorithm.

Copyright © 1995 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Michael J. Carey, Donovan A. Schneider (Eds.): Proceedings of the 1995 ACM SIGMOD International Conference on Management of Data, San Jose, California, May 22-25, 1995. ACM Press 1995 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML, SIGMOD Record 24(2), June 1995
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References

[Beck90]
Norbert Beckmann, Hans-Peter Kriegel, Ralf Schneider, Bernhard Seeger: The R*-Tree: An Efficient and Robust Access Method for Points and Rectangles. SIGMOD Conference 1990: 322-331 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[BKS93]
Thomas Brinkhoff, Hans-Peter Kriegel, Bernhard Seeger: Efficient Processing of Spatial Joins Using R-Trees. SIGMOD Conference 1993: 237-246 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[FBF77]
...
[Gutt84]
Antonin Guttman: R-Trees: A Dynamic Index Structure for Spatial Searching. SIGMOD Conference 1984: 47-57 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[HS78]
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[Jaga90]
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[Kame94]
Ibrahim Kamel, Christos Faloutsos: Hilbert R-tree: An Improved R-tree using Fractals. VLDB 1994: 500-509 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[Rous85]
Nick Roussopoulos, Daniel Leifker: Direct Spatial Search on Pictorial Databases Using Packed R-Trees. SIGMOD Conference 1985: 17-31 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[Same89]
Hanan Samet: The Design and Analysis of Spatial Data Structures. Addison-Wesley 1990
CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[Same90]
...
[SRF87]
Timos K. Sellis, Nick Roussopoulos, Christos Faloutsos: The R+-Tree: A Dynamic Index for Multi-Dimensional Objects. VLDB 1987: 507-518 CiteSeerX Google scholar pubzone.org BibTeX bibliographical record in XML
[Spro91]
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Copyright © Mon Dec 21 21:56:50 2009 by Michael Ley (ley@uni-trier.de)