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,
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Printed Edition
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
,
SIGMOD Record 24(2),
June 1995
Contents
[Index Terms]
[Full Text in PDF Format, 777 KB]
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Copyright © Mon Dec 21 21:56:50 2009
by Michael Ley (ley@uni-trier.de)