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» Mining Mobility Behavior from Trajectory Data
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MASS
2010
157views Communications» more  MASS 2010»
13 years 4 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl
KES
2008
Springer
13 years 6 months ago
Privacy Risks in Trajectory Data Publishing: Reconstructing Private Trajectories from Continuous Properties
Abstract. Location and time information about individuals can be captured through GPS devices, GSM phones, RFID tag readers, and by other similar means. Such data can be pre-proces...
Emre Kaplan, Thomas Brochmann Pedersen, Erkay Sava...
GIS
2010
ACM
13 years 4 months ago
Automatic construction and multi-level visualization of semantic trajectories
With the prevalence of GPS-embedded mobile devices, enormous amounts of mobility data are being collected in the form of trajectory - a stream of (x,y,t) points. Such trajectories...
Zhixian Yan, Lazar Spremic, Dipanjan Chakraborty, ...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 6 months ago
Mobile Information Collectors' Trajectory Data Warehouse Design
To analyze complex phenomena which involve moving objects, Trajectory Data Warehouse (TDW) seems to be an answer for many recent decision problems related to various professions (...
Wided Oueslati, Jalel Akaichi
KDD
2000
ACM
116views Data Mining» more  KDD 2000»
13 years 9 months ago
Learning Feature Weights from User Behavior in Content-Based Image Retrieval
Henning Müller, Wolfgang Müller 0002, Da...