All-nearest-neighbors queries in spatial databases

Jun Zhang, N. Mamoulis, D. Papadias, Yufei Tao
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引用次数: 108

Abstract

Given two sets A and B of multidimensional objects, the all-nearest-neighbors (ANN) query retrieves for each object in A its nearest neighbor in B. Although this operation is common in several applications, it has not received much attention in the database literature. In this paper we study alternative methods for processing ANN queries depending on whether A and B are indexed: Our algorithms are evaluated through extensive experimentation using synthetic and real datasets. The performance studies show that they are an order of magnitude faster than a previous approach based on closest-pairs query processing.
空间数据库中的全近邻查询
给定两组多维对象A和B,全近邻查询为A中的每个对象检索其在B中的最近邻居。尽管这种操作在一些应用程序中很常见,但在数据库文献中并没有受到太多关注。在本文中,我们研究了根据A和B是否被索引来处理ANN查询的替代方法:我们的算法通过使用合成和真实数据集的广泛实验来评估。性能研究表明,它们比以前基于最接近对查询处理的方法快一个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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