DocumentCode
2210730
Title
Mobility, Data Mining and Privacy Understanding Human Movement Patterns from Trajectory Data
Author
Giannotti, Fosca
Author_Institution
KDD Lab., ISTI-CNR, Pisa, Italy
Volume
1
fYear
2011
fDate
6-9 June 2011
Firstpage
4
Lastpage
5
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/MDM.2011.103
Filename
6068414
Link To Document