Trajectory Pattern Mining: Methods and Applications

被引：2

作者：

Huang, Xin ^{[1
]}

Chen, Huijuan ^{[1
]}

Zheng, Maogong ^{[1
]}

Liu, Ping ^{[1
]}

Qian, Jing ^{[1
]}

机构：

[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China

来源：

MECHANICAL DESIGN AND POWER ENGINEERING, PTS 1 AND 2 | 2014年 / 490-491卷

关键词：

Spatio-Temporal Database; Data Mining;

D O I：

10.4028/www.scientific.net/AMM.490-491.1361

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

With the advent of location-based social media and locationacquisition technologies, trajectory data are becoming more and more ubiquitous in the real world. A lot of data mining algorithms have been successfully applied to trajectory data sets. Trajectory pattern mining has received a lot of attention in recent years. In this paper, we review the most inuential methods as well as typical applications within the context of trajectory pattern mining.

引用

页码：1361 / 1367

页数：7

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