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
复制
发表时间:
2016
期刊:
影响因子:
--
通讯作者:
Wei Wang
中科院分区:
文献类型:
--
作者:
Xiaoling Zhou;Wei Wang
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.