indexing frequently updated trajectories of network-constrained moving objects
文献类型:会议论文
作者 | Ding Zhiming |
出版日期 | 2011 |
会议名称 | 22nd International Conference on Database and Expert Systems Applications, DEXA 2011 |
会议日期 | August 29, |
会议地点 | Toulouse, France |
关键词 | Database systems Decision trees Expert systems Indexing (materials working) Plant extracts |
页码 | 464-474 |
英文摘要 | 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. |
会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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会议录出版地 | Germany |
ISSN号 | 3029743 |
ISBN号 | 9783642230905 |
源URL | [http://124.16.136.157/handle/311060/14277] ![]() |
专题 | 软件研究所_基础软件国家工程研究中心_会议论文 |
推荐引用方式 GB/T 7714 | 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,. |
入库方式: OAI收割
来源:软件研究所
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