Smart devices become a useful tool for user movement recognition, since they are equipped with different types of sensors and processors. In this paper, we present a methodology for analyzing user location information in order to identify user habits. We find locations that user usually spends more time, and after identifying the user’s frequently preferred transportation types, we find what type of places the user visits in a regular base.
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