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空间网络数据库中基于M-tree索引的反最近邻查询算法
引用本文:朱彩云,金顺福,刘国华,齐峰,李金才.空间网络数据库中基于M-tree索引的反最近邻查询算法[J].燕山大学学报,2009,33(2).
作者姓名:朱彩云  金顺福  刘国华  齐峰  李金才
作者单位:燕山大学,信息科学与工程学院,河北,秦皇岛,066004
摘    要:欧式空间中的反k最近邻查询算法不适用于空间网络环境,故采用任意度量空间中的M-tree索引结构,进行空间网络数据库中的反k最近邻查询处理.首先通过预计算的方法得到网络距离信息,依据此距离信息,对空间网络对象建立M-tree索引结构.然后,给出并证明了M-tree中间结点修剪定理,提出一种适用于空间网络环境的反k最近邻查询算法.最后实验验证了该算法的有效性.

关 键 词:空间网络数据库  k最近邻  反k最近邻

An algorithm for reverse k-nearest neighbor queries based on M-tree in spatial network databases
ZHU Cai-yun,JIN Shun-fu,LIU Guo-hua,QI Feng,LI Jin-cai.An algorithm for reverse k-nearest neighbor queries based on M-tree in spatial network databases[J].Journal of Yanshan University,2009,33(2).
Authors:ZHU Cai-yun  JIN Shun-fu  LIU Guo-hua  QI Feng  LI Jin-cai
Institution:College of Information Science and Engineering;Yanshan University;Qinhuangdao;Hebei 066004;China
Abstract:Current work which focuses on Euclidean spatial for reverse -nearest neighbor queries cannot be applied to spatial net- work environment. On this issue, the M-tree index which is capable of indexing data in any metric space is presented for reverse k-nearest neighbor queries in spatial network. Firstly, the pre-computation's method is used to get the network distances information, based on this distance information, the M-tree index structure to the spatial network object is established. Then, the theorem t...
Keywords:M-tree
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