Parallel gathering discovery over big trajectory data


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


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@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} }