Spatial Predictive Queries

被引：1
|
作者：
Hendawi, Abdeltawab M. [1 ,2 ]
Ali, Mohamed [2 ]
机构：
[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
[2] Univ Washington Tacoma, Inst Technol, Ctr Data Sci, Tacoma, WA USA
来源：
2015 16TH IEEE INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT, VOL 2 | 2015年
关键词：
MOVING-OBJECTS; NEAREST;
D O I：
10.1109/MDM.2015.76
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this seminar, we address spatial predictive queries both in Euclidian spaces and over road networks. We provide a definition for various types of spatial predictive queries, describe current research trends, and envision future directions. We present practical application scenarios and emphasize the roadblocks that are holding industry back from the commercialization of spatial predictive queries. This seminar targets audience in mobile data management, spatiotemporal query processing, mobile crowd sourcing, and tracking of moving objects.
引用
收藏
页码：15 / 18
页数：4
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