Sampling Big Trajectory Data

Author:

Li Yanhua1,Chow Chi-Yin2,Deng Ke3,Yuan Mingxuan4,Zeng Jia5,Zhang Jia-Dong2,Yang Qiang6,Zhang Zhi-Li7

Affiliation:

1. Worcester Polytechnic Institute, Worcester, MA, USA

2. City University of Hong Kong, Hong Kong, Hong Kong

3. RMIT University, Melbourne, Australia

4. HUAWEI Noah's Ark LAB, Hong Kong, Hong Kong

5. Soochow University, Soochow, China

6. Hong Kong University of Science and Technology, Hong Kong, Hong Kong

7. University of Minnesota, Twin Cities, Minneapolis, MN, USA

Funder

National Science Foundation

Army Research Office

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Defense Threat Reduction Agency

Publisher

ACM

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Framework for Learned Approximate Query Processing for Tabular Data with Trajectory;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

2. A Method for Solving Approximate Partition Boundaries of Spatial Big Data Based on Histogram Bucket Sampling;Symmetry;2022-05-20

3. Approximate Query Processing: What is New and Where to Go?;Data Science and Engineering;2018-09-14

4. Continuous k nearest neighbor queries over large multi-attribute trajectories: a systematic approach;GeoInformatica;2018-07-11

5. City-Scale Localization with Telco Big Data;Proceedings of the 25th ACM International on Conference on Information and Knowledge Management;2016-10-24

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