Mining Mobility Behavior from Trajectory Data

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 23 citations exist upstream.