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         author = {Montoliu, Raul. and Gatica-Perez, Daniel},
       projects = {Idiap},
          month = {12},
          title = {Discovering Human Places of Interest from Multimodal Mobile Phone Data},
      booktitle = {Proceedings of 9th International Conference on on Mobile and Ubiquitous Multimedia (MUM,',','),
 Limassol, Cyprus},
           year = {2010},
       abstract = {In this paper, a new framework to discover places-of-interest from
multimodal mobile phone data is presented. Mobile phones have
been used as sensors to obtain location information from users{\^{a}}€™ real
lives. Two levels of clustering are used to obtain places of interest.
First, user location points are grouped using a time-based clustering
technique which discovers stay points while dealing with missing
location data. The second level performs clustering on the stay
points to obtain stay regions. A grid-based clustering algorithm
has been used for this purpose.
To obtain more user location points, a client-server system has been
installed on the mobile phones, which is able to obtain location information
by integrating GPS, Wifi, GSM and accelerometer sensors,
among others. An extensive set of experiments have been
performed to show the benefits of using the proposed framework,
using data from the real life of 8 users over 5 continuous months of
natural phone usage.},
            pdf = {https://publications.idiap.ch/attachments/papers/2010/Montoliu_MUM2010_2010.pdf}