Visual analysis of traffic data based on topic modeling (ChinaVis 2017)-Reference-Cited by-同舟云学术

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Visual analysis of traffic data based on topic modeling (ChinaVis 2017)

Published:2018-03-16 Issue:4 Volume:21 Page:661-680
ISSN:1343-8875
Container-title:Journal of Visualization
language:en
Short-container-title:J Vis

Author:

Tang Ying,Sheng Fengfan,Zhang Hongxin,Shi Chaojie,Qin Xujia,Fan Jing

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Condensed Matter Physics

Link

http://link.springer.com/article/10.1007/s12650-018-0481-7/fulltext.html

Reference37 articles.

1. Al-Dohuki S, Wu Y, Kamw F, SemanticTraj et al (2017) A new approach to interacting with massive taxi trajectories. IEEE Trans Visual Comput Graphics 23(1):11–20

2. Andrienko G and Andrienko N (2008) Spatio-temporal aggregation for visual analysis of movements. 2008 IEEE Symposium on Visual Analytics Science and Technology, pp 51–58

3. Andrienko G, Andrienko N, Wrobel S (2007) Visual analytics tools for analysis of movement data. SIGKDD Explor Newsl 9(2):38–46

4. Andrienko N, Andrienko G, Stange H et al (2012) Visual analytics for understanding spatial situations from episodic movement data. KI-Kunstliche Intelligenz 26(3):241–251

5. Andrienko G, Andrienko N, Bak P et al (2013a) Visual analytics of movement. Springer, Berlin

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