Surrounding Join Query Processing in Spatial Databases

被引:0
|
作者
Li, Lingxiao [1 ]
Taniar, David [1 ]
Indrawan-Santiago, Maria [1 ]
Shao, Zhou [1 ]
机构
[1] Monash Univ, Melbourne, Vic, Australia
来源
关键词
Spatial join; Spatial indexing; Spatial database; Nearest neighbour; NEAREST-NEIGHBOR QUERIES;
D O I
10.1007/978-3-319-68155-9-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Spatial join queries play an important role in spatial database, and mostly all the distance-based join queries are based on the range search and nearest neighbour (NN), namely range join query and kNN join query. In this paper, we propose a new join query which is called surrounding join query. Given two point datasets Q and P of multidimensional objects, the surrounding query retrieves for each point in Q its all surrounding points in P. As a new spatial join query, we propose algorithms that are able to process such query efficiently. Evaluation on multiple real world datasets illustrate that our approach achieves high performance.
引用
收藏
页码:17 / 28
页数:12
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