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Latest revision as of 14:39, 11 February 2021
Abstract
This document presents the key algorithms that form the core of the Mobility Pattern Mining module within the PETRA architecture, as presented in D2.2, devoted to deal with GPS and mobile phone (GSM) individual data. The algorithms learn to identify the role or purpose of each trip or location within the history of a user, in terms of activity to be performed, whether it is a systematic trip or location, etc., and exploit such derived information for prediction purposes. This document provides some preliminaries, the rationale of the methods, highlighting the improvement over the state-of-art, and a brief summary of performances.
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Document information
Published on 31/12/15
Accepted on 31/12/15
Submitted on 31/12/15
Volume 2016, 2016
Licence: CC BY-NC-SA license
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