Title :
Mobility, Data Mining and Privacy Understanding Human Movement Patterns from Trajectory Data
Author :
Giannotti, Fosca
Author_Institution :
KDD Lab., ISTI-CNR, Pisa, Italy
Abstract :
The technologies of mobile communications and ubiquitous computing pervade our society, and wireless net works sense the movement of people and vehicles, generating large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, mining this data can produce useful knowledge. On the other side, individual privacy is at risk, as the mobility data contain sensitive personal information.
Keywords :
data mining; data privacy; mobile computing; data mining; data privacy; human movement patterns; mobile communications; mobility; trajectory data; ubiquitous computing; wireless networks; Data privacy; Databases; Europe; Global Positioning System; Humans; Trajectory;
Conference_Titel :
Mobile Data Management (MDM), 2011 12th IEEE International Conference on
Conference_Location :
Lulea
Print_ISBN :
978-1-4577-0581-6
Electronic_ISBN :
978-0-7695-4436-6
DOI :
10.1109/MDM.2011.103