A Reactive System for Big Trajectory Data Management-Reference-Cited by-同舟云学术

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A Reactive System for Big Trajectory Data Management

Published:2019 Issue: Volume:151 Page:463-470
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Maguerra Soufiane,Boulmakoul Azedine,Karim Lamia,Badir Hassan,Lbath Ahmed

Publisher

Elsevier BV

Subject

General Engineering

Reference22 articles.

1. Bonér, J., Farley, D., Kuhn, R., Thompson, M., 2014. The reactive manifesto, v2. 0.

2. Boulmakoul, A., Karim, L., Lbath, A., 2012. Moving object trajectories meta-model and spatio-temporal queries. arXiv preprint arXiv:1205.1796.

3. Ding, X., Chen, L., Gao, Y., Jensen, C.S., Bao, H., 2018a. Ultraman: a unified platform for big trajectory data management and analytics. Proceedings of the VLDB Endowment 11, 787–799.

4. Ding, X., Chen, R., Chen, L., Gao, Y., Jensen, C.S., 2018b. Viptra: Visualization and interactive processing on big trajectory data, in: 2018 19th IEEE International Conference on Mobile Data Management (MDM), IEEE. pp. 290–291.

5. Gong, Y., Rimba, P., Sinnott, R., 2017. A big data architecture for near real-time traffic analytics, in: Companion Proceedings of the10th International Conference on Utility and Cloud Computing, ACM. pp. 157–162.

Cited by 2 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. Trajectory-based Modeling for Fraud Detection and Analytics: Foundation and Design;2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA);2021-11

2. Towards a reactive system for managing big trajectory data;Journal of Ambient Intelligence and Humanized Computing;2019-12-11

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