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
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