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.
Mining Mobility Behavior from Trajectory Data
Fosca Giannotti;Mirco Nanni;Chiara Renso;Roberto Trasarti
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 multidisciplinary research area has thus started, at the crossroads of mobility, data mining, and privacy.File | Dimensione | Formato | |
---|---|---|---|
prod_268650-doc_133583.pdf
solo utenti autorizzati
Descrizione: Mining mobility behavior from trajectory data
Tipologia:
Versione Editoriale (PDF)
Dimensione
292.13 kB
Formato
Adobe PDF
|
292.13 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.