Privacy Preservation in High-dimensional Trajectory Data for Passenger Flow Analysis
The increasing use of location-aware devices provides many opportunities for analyzing and mining human mobility. The trajectory of a person can be represented as a sequence of visited locations with different timestamps. Storing, sharing, and analyzing personal trajectories may pose new privacy thr...
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2013
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| Online Access: | http://spectrum.library.concordia.ca/977774/1/Ghasemzadeh_MASc_F2013.pdf Ghasemzadeh, Moein <http://spectrum.library.concordia.ca/view/creators/Ghasemzadeh=3AMoein=3A=3A.html> (2013) Privacy Preservation in High-dimensional Trajectory Data for Passenger Flow Analysis. Masters thesis, Concordia University. |
Internet
http://spectrum.library.concordia.ca/977774/1/Ghasemzadeh_MASc_F2013.pdfGhasemzadeh, Moein <http://spectrum.library.concordia.ca/view/creators/Ghasemzadeh=3AMoein=3A=3A.html> (2013) Privacy Preservation in High-dimensional Trajectory Data for Passenger Flow Analysis. Masters thesis, Concordia University.