Mining Mobility Behavior from Trajectory Data
Fosca Giannotti And Mirco Nanni And Dino Pedreschi And Chiara Renso And Roberto Trasarti
Privacy Mobility Data Mining
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data: location data from mobile phones, GPS tracks from mobile devices receiving geo-positions from satellites, etc. The GeoPKDD project, a large European research initiative, has studied how to discover useful knowledge about human movement behavior from mobility data, while preserving the privacy of the people under observation. A new exciting multidisciplinary research area has thus started, at the crossroads of mobility, data mining, and privacy.
Source: Proceedings IEEE CSE'09, 12th IEEE International Conference on Computational Science and Engineering, pp. 948–951, Vancouver, Canada, 29-31 August 2009
Publisher: IEEE, New York, USA
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@inproceedings{oai:it.cnr:prodotti:268650,
title = {Mining Mobility Behavior from Trajectory Data},
author = {Fosca Giannotti And Mirco Nanni And Dino Pedreschi And Chiara Renso And Roberto Trasarti},
publisher = {IEEE, New York, USA},
doi = {10.1109/cse.2009.542},
booktitle = {Proceedings IEEE CSE'09, 12th IEEE International Conference on Computational Science and Engineering, pp. 948–951, Vancouver, Canada, 29-31 August 2009},
year = {2009}
}
0000-0003-3099-3835