An Index-Based Method for Efficient Maximizing Range Sum Queries in Road Network

An Index-Based Method for Efficient Maximizing Range Sum Queries in Road Network
复制标题

路网中基于索引的高效最大化范围和查询方法

DOI:
10.1007/978-3-319-46922-5_8
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发表时间:
2016
期刊:
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
影响因子:
--
通讯作者:
Wei Wang
Wei Wang
中科院分区:
--
文献类型:
--
作者:
Xiaoling Zhou;Wei Wang

文献摘要

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Given a set of positive weighted points, the Maximizing Range Sum (maxRS) problem finds the placement of a query region r of given size such that the weight sum of points covered by r is maximized. This problem has long been studied since its wide application in spatial data mining, facility locating, and clustering problems. However, most of the existing work focus on Euclidean space, which is not applicable in many real-life cases. For example, in location-based services, the spatial data points can only be accessed by following certain underlying (road) network, rather than straight-line access. Thus in this paper, we study the maxRS problem with road network constraint, and propose an index-based method that solves the online queries highly efficiently.