DocumentCode :
3134362
Title :
All-nearest-neighbors queries in spatial databases
Author :
Zhang, Jun ; Mamoulis, Nikos ; Papadias, Dimitris ; Tao, Yufei
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2004
fDate :
21-23 June 2004
Firstpage :
297
Lastpage :
306
Abstract :
Given two sets A and B of multidimensional objects, the all-nearest-neighbors (ANN) query retrieves for each object in A its nearest neighbor in B. Although this operation is common in several applications, it has not received much attention in the database literature. In this paper we study alternative methods for processing ANN queries depending on whether A and B are indexed: Our algorithms are evaluated through extensive experimentation using synthetic and real datasets. The performance studies show that they are an order of magnitude faster than a previous approach based on closest-pairs query processing.
Keywords :
database indexing; query processing; visual databases; ANN query processing; all-nearest-neighbors queries; closest-pairs query processing; database indexing; multidimensional objects; spatial databases; Application software; Computational geometry; Computer science; Data engineering; Information retrieval; Information systems; Multidimensional systems; Nearest neighbor searches; Query processing; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 2004. Proceedings. 16th International Conference on
ISSN :
1099-3371
Print_ISBN :
0-7695-2146-0
Type :
conf
DOI :
10.1109/SSDM.2004.1311221
Filename :
1311221
Link To Document :
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