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» Privacy-Preserving Data Mining on Moving Object Trajectories
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ICDE
2011
IEEE
224views Database» more  ICDE 2011»
14 years 26 days ago
SmartTrace: Finding similar trajectories in smartphone networks without disclosing the traces
—In this demonstration paper, we present a powerful distributed framework for finding similar trajectories in a smartphone network, without disclosing the traces of participatin...
Costandinos Costa, Christos Laoudias, Demetrios Ze...
GIS
2008
ACM
15 years 10 months ago
Mining user similarity based on location history
The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. T...
Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu ...
GIS
2009
ACM
15 years 10 months ago
Map-Matching for Low-Sampling-Rate GPS Trajectories
Map-matching is the process of aligning a sequence of observed user positions with the road network on a digital map. It is a fundamental pre-processing step for many applications...
Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei ...
HUC
2011
Springer
13 years 9 months ago
iBAT: detecting anomalous taxi trajectories from GPS traces
GPS-equipped taxis can be viewed as pervasive sensors and the large-scale digital traces produced allow us to reveal many hidden “facts” about the city dynamics and human beha...
Daqing Zhang, Nan Li, Zhi-Hua Zhou, Chao Chen, Lin...
ICCV
2007
IEEE
15 years 11 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis