Retrieving points of interest from human systematic movements


== Abstract ==

Human mobility analysis is emerging as a more and more fundamental task to deeply understand human behavior. In the last decade these kind of studies have become feasible thanks to the massive increase in availability of mobility data. A crucial point, for many mobility applications and analysis, is to extract interesting locations for people. In this paper, we propose a novel methodology to retrieve efficiently significant places of interest from movement data. Using car driversâ systematic movements we mine everyday interesting locations, that is, places around which people life gravitates. The outcomes show the empirical evidence that these places capture nearly the whole mobility even though generated only from systematic movements abstractions.


== Original document ==

The different versions of the original document can be found in:

* [http://openportal.isti.cnr.it/data/2015/345656/2015_345656.postprint.pdf http://openportal.isti.cnr.it/data/2015/345656/2015_345656.postprint.pdf]

* [http://link.springer.com/content/pdf/10.1007/978-3-319-15201-1_19 http://link.springer.com/content/pdf/10.1007/978-3-319-15201-1_19],
: [http://dx.doi.org/10.1007/978-3-319-15201-1_19 http://dx.doi.org/10.1007/978-3-319-15201-1_19] under the license http://www.springer.com/tdm

* [https://link.springer.com/chapter/10.1007/978-3-319-15201-1_19 https://link.springer.com/chapter/10.1007/978-3-319-15201-1_19],
: [https://arpi.unipi.it/handle/11568/682263 https://arpi.unipi.it/handle/11568/682263],
: [http://dx.doi.org/10.1007/978-3-319-15201-1_19 http://dx.doi.org/10.1007/978-3-319-15201-1_19],
: [https://dx.doi.org/10.1007/978-3-319-15201-1_19 https://dx.doi.org/10.1007/978-3-319-15201-1_19],
: [https://dblp.uni-trier.de/db/conf/sefm/sefm2014w.html#GuidottiMRPG14 https://dblp.uni-trier.de/db/conf/sefm/sefm2014w.html#GuidottiMRPG14],
: [https://rd.springer.com/chapter/10.1007/978-3-319-15201-1_19 https://rd.springer.com/chapter/10.1007/978-3-319-15201-1_19],
: [https://academic.microsoft.com/#/detail/288194885 https://academic.microsoft.com/#/detail/288194885]