DocumentCode
692991
Title
Studies on kNN query of moving objects for location management in spatial database
Author
An Chunming ; Li Zongsen
Author_Institution
Sch. of Econ. & Manage., Beihua Univ., Jilin, China
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
2428
Lastpage
2432
Abstract
With mobile technology deepening and applications developing, quantity of moving objects is increasing explosively, which impels development of moving objects database (MOD). As critical technology of MOD, moving objects indexing structure and its accessory algorithms affect performance of applications directly. This chapter presents a Branch-and-Bround algorithm based M2TPR-tree multi-time parameter approximation expression, and improves query efficiency of polygon objects moving kNN algorithm. This chapter also presents the radius of MPB-tree-based iterative algorithm which can efficiently complete point-like objects moving kNN query.
Keywords
pattern recognition; query processing; tree searching; visual databases; M2TPR-tree multitime parameter approximation expression; MOD; MPB-tree-based iterative algorithm; accessory algorithms; branch-and-bround algorithm; critical technology; kNN query; location management; mobile technology deepening; moving objects database; moving objects indexing structure; polygon objects moving kNN algorithm; query efficiency; spatial database; Algorithm design and analysis; Approximation algorithms; Approximation methods; Indexing; Measurement; Spatial databases; Location Management; Moving Objects Database; Spatial Database; kNN Query;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location
Shengyang
Print_ISBN
978-1-4799-2564-3
Type
conf
DOI
10.1109/MEC.2013.6885443
Filename
6885443
Link To Document