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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/5786
Title: Group nearest neighbor queries
Authors: Shen, Qiong Mao
Issue Date: 2003
Abstract: 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 q1, q2 and q3 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 |pqi| 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.
Description: Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2003
x, 43 leaves : ill. ; 30 cm
HKUST Call Number: Thesis COMP 2003 Shen
URI: http://hdl.handle.net/1783.1/5786
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