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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/158
Title: Continuous nearest neighbor search
Authors: Tao, Yufei
Papadias, Dimitris
Shen, Qiongmao
Keywords: Nearest neighbor
Continuous
Query
Issue Date: 2002
Citation: Very large data bases : proceedings, Hong Kong, 20-24 Aug. 2002, IEEE, New York, USA, 2002, p. 287-298
Abstract: A continuous nearest neighbor query retrieves the nearest neighbor (NN) of every point on a line segment (e.g., “find all my nearest gas stations during my route from point s to point e”). The result contains a set of <point, interval> tuples, such that point is the NN of all points in the corresponding interval. Existing methods for continuous nearest neighbor search are based on the repetitive application of simple NN algorithms, which incurs significant overhead. In this paper we propose techniques that solve the problem by performing a single query for the whole input segment. As a result the cost, depending on the query and dataset characteristics, may drop by orders of magnitude. In addition, we propose analytical models for the expected size of the output, as well as, the cost of query processing, and extend out techniques to several variations of the problem.
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URI: http://hdl.handle.net/1783.1/158
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