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indexing frequently updated trajectories of network-constrained moving objects
Ding Zhiming
2011
Conference Name22nd International Conference on Database and Expert Systems Applications, DEXA 2011
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages464-474
Conference DateAugust 29,
Conference PlaceToulouse, France
Publish PlaceGermany
ISSN3029743
ISBN9783642230905
Department(1) Institute of Software, Chinese Academy of Sciences, South-Fourth-Street 4, Zhong-Guan-Cun, Beijing 100190, China
English AbstractIndex 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.
KeywordDatabase Systems Decision Trees Expert Systems Indexing (Materials Working) Plant Extracts
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/14277
Collection基础软件国家工程研究中心
Recommended Citation
GB/T 7714
Ding Zhiming. indexing frequently updated trajectories of network-constrained moving objects[C]. Germany,2011:464-474.
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