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Mining social mobility behaviors from GPS data

Conference Paper
Publication Date:
2009
abstract:
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 multi- disciplinary research area has thus started, at the crossroads of mobility, data mining, and privacy.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Data Mining; Privacy; Mobility
List of contributors:
Pedreschi, Dino; Giannotti, Fosca; Renso, Chiara; Nanni, Mirco; Trasarti, Roberto
Authors of the University:
NANNI MIRCO
RENSO CHIARA
TRASARTI ROBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/58573
Book title:
Workshop on Social Computing with Mobile Phones & Sensors: Modeling, Sensing and Sharing
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URL

http://hd.media.mit.edu/mobile_socialcom09/
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