Mobility data mining: discovering movement patterns from trajectory data ; Fosca Giannotti · KDD-Lab, CNR, Pisa, Italy ; Mirco Nanni · KDD-Lab, CNR, Pisa, Italy.
Current generation of analysis systems and methods on mobility data are based on standard statistical techniques, such as movement distributions among the city ...
The analysis of movement data has been recently fostered by the widespread diffusion of new techniques and systems for monitoring, collecting and storing ...
Title, Mobility data mining: discovering movement patterns from trajectory data. Publication Type, Conference Paper. Year of Publication, 2010.
Mar 15, 2016 · In this paper, we have present a framework to track and discovery mobility patterns in moving objects trajectory data streams. We also ...
Trajectory pattern mining allows characterizing movement behavior, which leverages new applications and services. Most existing approaches analyse the whole ...
In this paper, we propose a method for mining movement patterns from cell-id trajectories (i.e., sequences of cell tower identifiers) without explicit location ...
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To give a comprehensive analysis on trajectory data, we design and implement a moving object activity pattern discovery system, which can be called APDS in ...
The mobility data mining literature offers several examples of trajectory patterns that can be discovered from trajectory data. Despite this wide variety ...
Mobility, Data Mining and Privacy Understanding Human Movement Patterns from Trajectory Data. 2011, pp. 4-5, vol. 1. DOI Bookmark: 10.1109/MDM.2011.103.