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Beyond millisecond latency kNN search on commodity machine
Liao B.1; Leong Hou U.1; Yiu M.L.1; Gong Z.2
2015-10-01
Source PublicationIEEE Transactions on Knowledge and Data Engineering
ISSN10414347
Volume27Issue:10Pages:2618-2631
Abstract

The k nearest neighbor (k NN) search on road networks is an important function in web mapping services. These services are now dealing with rapidly arriving queries, that are issued by a massive amount of users. While overlay graph-based indices can answer shortest path queries efficiently, there have been no studies on utilizing such indices to answer k NN queries efficiently. In this paper, we fill this research gap and present two efficient k NN search solutions on overlay graph-based indices. Experimental results show that our solutions offer very low query latency (0.1 ms) and require only small index sizes, even for 10-million-node networks.

KeywordNearest Neighbor Searches Overlay Networks Spatial Databases
DOI10.1109/TKDE.2015.2426702
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000361245300003
Scopus ID2-s2.0-84941367984
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.Hong Kong Polytechnic University
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Liao B.,Leong Hou U.,Yiu M.L.,et al. Beyond millisecond latency kNN search on commodity machine[J]. IEEE Transactions on Knowledge and Data Engineering, 2015, 27(10), 2618-2631.
APA Liao B.., Leong Hou U.., Yiu M.L.., & Gong Z. (2015). Beyond millisecond latency kNN search on commodity machine. IEEE Transactions on Knowledge and Data Engineering, 27(10), 2618-2631.
MLA Liao B.,et al."Beyond millisecond latency kNN search on commodity machine".IEEE Transactions on Knowledge and Data Engineering 27.10(2015):2618-2631.
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