Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/2504

Group nearest neighbor queries

Authors Papadias, D.
Shen, Q.
Tao, Y.
Mouratidis, K.
Issue Date 2004
Source Proceedings - International Conference on Data Engineering , v. 20, 2004, p. 301-312
Summary Given two sets of points P and Q, a group nearest neighbor (GNN) query retrieves the point(s) of P with the smallest sum of distances to all points in Q. Consider, for instance, three users at locations q<sub>1</sub>, q<sub>2</sub> and q<sub>3</sub> that want to find a meeting point (e.g., a restaurant); the corresponding query returns the data point p that minimizes the sum of Euclidean distances \pq<sub>i</sub>\ for 1≤i≤3. Assuming that Q fits in memory and P is indexed by an R-tree, we propose several algorithms for finding the group nearest neighbors efficiently. As a second step, we extend our techniques for situations where Q cannot fit in memory, covering both indexed and non-indexed query points. An experimental evaluation identifies the best alternative based on the data and query properties.
Subjects
ISSN 1063-6382
ISBN 0-7695-2065-0
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Language English
Format Conference paper
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