@InProceedings{AquinoAlvaRensBogo:2013:ToSeTr,
               author = "Aquino, Artur Ribeiro de and Alvares, Luis Otavio and Renso, 
                         Chiara and Bogorny, Vania",
          affiliation = "{Universidade Federal de Santa Catarina (UFSC)} and {Universidade 
                         Federal de Santa Catarina (UFSC)} and {KDD Lab} and {Universidade 
                         Federal de Santa Catarina (UFSC)}",
                title = "Towards semantic trajectory outlier detection",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Andrade, Pedro Ribeiro and Santanch{\`e}, Andr{\'e}",
                pages = "12",
         organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 14. (GEOINFO).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Only a few works in trajectory data mining have focused on outlier 
                         detection, and to the best of our knowledge, no works so far have 
                         made a deeper analysis to either understand or to give a meaning 
                         to the outliers. In this paper we present an algorithm to add 
                         meaning to trajectory outliers considering three main possible 
                         reasons for a detour: stops outside the standard route, events, 
                         and traffic jams in the standard path. We show with experiments on 
                         real data that the method correctly finds the different types of 
                         outliers.",
  conference-location = "Campos do Jord{\~a}o",
      conference-year = "24-27 nov. 2013",
                 issn = "2179-4820",
             language = "en",
                  ibi = "8JMKD3MGP8W/3FCBREE",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3FCBREE",
           targetfile = "paper12.pdf",
        urlaccessdate = "18 maio 2024"
}