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Learning Behavioral Representations of Human Mobility
In this paper, we investigate the suitability of state-of-the-art representation learning methods to the analysis of behavioral similarity of moving individuals, based on CDR trajectories.
Cluster-based trajectory segmentation with local noise
We analyze in detail the properties of the model and present a comprehensive solution for the extraction of temporally ordered clusters.
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