Outlier Trajectory Detection: A Trajectory Analytics Based Approach-Reference-Cited by-同舟云学术

Outlier Trajectory Detection: A Trajectory Analytics Based Approach

Published:2017 Issue: Volume: Page:231-246
ISSN:0302-9743
Container-title:Database Systems for Advanced Applications
language:
Short-container-title:

Author:

Lv Zhongjian,Xu Jiajie,Zhao Pengpeng,Liu Guanfeng,Zhao Lei,Zhou Xiaofang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-55753-3_15

Reference24 articles.

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2. Chen, Z., Shen, H.T., Zhou, X.: Discovering popular routes from trajectories. In: ICDE, pp. 900–911 (2011)

3. Ding, Z., Jiajie, X., Yang, Q.: Seaclouddm: a database cluster framework for managing and querying massive heterogeneous sensor sampling data. J. Supercomput. 66, 1260–84 (2013)

4. Ester, M., Kriegel, H.-P., Sander, J., Xiaowei, X., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD, pp. 226–231 (1994)

5. Gonzalez, H., Han, J., Li, X., Myslinska, M., Sondag, J.P.: Adaptive fastest path computation on a road network: a traffic mining approach. In: VLDB, pp. 794–805 (2007)

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