引用本文: | 唐桂芬,刘书雷,廖巍,等.多自治空间数据源的k邻近查询处理[J].国防科技大学学报,2006,28(6):114-119.[点击复制] |
TANG Guifen,LIU Shulei,LIAO Wei,et al.k-NN Query Processing for Multi-autonomous Spatial Data Sources[J].Journal of National University of Defense Technology,2006,28(6):114-119[点击复制] |
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多自治空间数据源的k邻近查询处理 |
唐桂芬, 刘书雷, 廖巍, 景宁, 陈荦 |
(国防科技大学 电子科学与工程学院,湖南 长沙 410073)
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摘要: |
多自治空间数据源的k邻近查询处理在空间信息领域具有广泛的应用。综合分析比较现有的查询处理算法,研究并提出了多自治空间数据源环境下k邻近查询处理框架及其实现算法。实验结果表明,所提出的算法能有效地减少k邻近查询处理系统的数据传输量,减少了系统响应时间。 |
关键词: 自治空间数据源 k邻近查询 数据源R树索引 |
DOI: |
投稿日期:2006-05-14 |
基金项目:国家863高技术资助项目(2002AA134010,2002AA104220) |
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k-NN Query Processing for Multi-autonomous Spatial Data Sources |
TANG Guifen, LIU Shulei, LIAO Wei, JING Ning, CHEN Luo |
(College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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Abstract: |
k-NN query based on multi-autonomous spatial data source is widely used in spatial information realm. In this paper, incorporating existing k-NN query algorithm, a new k-NN query framework for multi-autonomous spatial data sources and its implement algorithm, is proposed. The experiment results show that the method performs well both in data transmission volume and corresponding time of the k-NN query system. |
Keywords: autonomous spatial data source k-NN query data source R-tree index |
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