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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 3 months 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...
190
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GIS
2008
ACM
16 years 22 days 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
16 years 22 days 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 ...
119
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HUC
2011
Springer
13 years 11 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
16 years 1 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