Unveiling the complexity of human mobility by querying and mining massive trajectory data-Reference-Cited by-同舟云学术

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Unveiling the complexity of human mobility by querying and mining massive trajectory data

Published:2011-07-30 Issue:5 Volume:20 Page:695-719
ISSN:1066-8888
Container-title:The VLDB Journal
language:en
Short-container-title:The VLDB Journal

Author:

Giannotti Fosca,Nanni Mirco,Pedreschi Dino,Pinelli Fabio,Renso Chiara,Rinzivillo Salvatore,Trasarti Roberto

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s00778-011-0244-8.pdf

Reference46 articles.

1. Abul, O., Bonchi, F., Nanni, M.: $${\mathcal{N}}$$ ever $${\mathcal{W}}$$ alk $${\mathcal{A}}$$ lone: Uncertainty for anonymity in moving objects databases. In: Proceedings of the 24nd IEEE International Conference on Data Engineering (ICDE’08) 2008

2. Abul O., Bonchi F., Nanni M.: Anonymization of moving objects databases by clustering and perturbation. Inf. Syst. 35(8), 884–910 (2010)

3. Agenzia Milanese Mobilità e Ambiente. Indagine sulla mobilità delle persone dell’area milanese (2006)

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

5. Andrienko, G., Andrienko, N., Rinzivillo, S., Nanni, M., Pedreschi, D., Giannotti, F.: Interactive visual clustering of large collections of trajectories. In: IEEE Visual Analytics Science and Technology (VAST 2009) 3–10 (2009)

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