Parallel gathering discovery over big trajectory data

Abstract

The advances in location-acquisition technologies have generated massive spatio-temporal trajectory data, which represent the mobility of a diversity of moving objects over time, such as people, vehicles, and animals. Discovery of traveling companions on trajectory data has many real-world applications. Most of existing discovery approaches are limited to… (More)
DOI: 10.1109/BigData.2016.7840671

Topics

16 Figures and Tables

Cite this paper

@article{Xian2016ParallelGD, title={Parallel gathering discovery over big trajectory data}, author={Yongyi Xian and Yan Liu and Chuanfei Xu}, journal={2016 IEEE International Conference on Big Data (Big Data)}, year={2016}, pages={783-792} }