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Title:
indexing frequently updated trajectories of network-constrained moving objects
Author: Ding Zhiming
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference Name: 22nd International Conference on Database and Expert Systems Applications, DEXA 2011
Conference Date: August 29,
Issued Date: 2011
Conference Place: Toulouse, France
Keyword: Database systems ; Decision trees ; Expert systems ; Indexing (materials working) ; Plant extracts
Publish Place: Germany
ISSN: 3029743
ISBN: 9783642230905
Department: (1) Institute of Software, Chinese Academy of Sciences, South-Fourth-Street 4, Zhong-Guan-Cun, Beijing 100190, China
English Abstract: Index is a key technique in improving the query processing performance of moving objects databases. However, current index methods for moving object trajectories take trajectory units as the basic index records and frequent index updates are needed when location updates occur, which greatly affects the overall performance of moving objects databases. To solve this problem, we propose a new index method, network-constrained Moving Object Sketched-Trajectory R-Tree (MOSTR-Tree) in this paper, which outperforms previously proposed methods under frequent location updates. © 2011 Springer-Verlag Berlin Heidelberg.
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/14277
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Ding Zhiming. indexing frequently updated trajectories of network-constrained moving objects[C]. 见:22nd International Conference on Database and Expert Systems Applications, DEXA 2011. Toulouse, France. August 29,.
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