Mobility, data mining and privacy: the GeoPKDD paradigm
Trasarti R., Giannotti F.
Mobility Data Mining Privacy
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. Miniaturization, wearability, pervasiveness are producing traces of our mobile activity, with increasing positioning accuracy and semantic richness: Location data from mobile phones (GSM cell positions), GPS tracks from mobile devices receiving geo-positions from satellites, etc. The objective of the GeoPKDD (Geographic Privacy-aware Knowledge Discovery and Delivery) project is to discover useful knowledge about human movement behaviour from mobility data, while preserving the privacy of the people under observation. Pursuing this ambitious objective, the GeoPKDD project has started a new exciting multidisciplinary research area, at the crossroads of mobility, data mining, and privacy. This paper gives a short overview of the envisaged research challenges and the project achievements.
Source: SIAM Conference Mathematics for Industry: Challenges and Frontiers (MI09), pp. 10–18, San Francisco, California, 9-10 October 2009
Publisher: Society for Industrial and Applied Mathematics., Philadelphia, Pa. , Stati Uniti d'America
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@inproceedings{oai:it.cnr:prodotti:91919,
title = {Mobility, data mining and privacy: the GeoPKDD paradigm},
author = {Trasarti R. and Giannotti F.},
publisher = {Society for Industrial and Applied Mathematics., Philadelphia, Pa. , Stati Uniti d'America},
booktitle = {SIAM Conference Mathematics for Industry: Challenges and Frontiers (MI09), pp. 10–18, San Francisco, California, 9-10 October 2009},
year = {2009}
}
0000-0003-3099-3835