@InProceedings{VelosoIabrCorr:2013:ToEfPr,
               author = "Veloso, Br{\'a}ulio and Iabrudi, Andr{\'e}a and Correa, Thais",
          affiliation = "{Universidade Federal de Ouro Preto (UFOP)} and {Universidade 
                         Federal de Ouro Preto (UFOP)} and {Universidade Federal de Ouro 
                         Preto (UFOP)}",
                title = "Towards efficient prospective detection of multiple 
                         spatio-temporal clusters",
            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 = "In this paper we propose a novel technique to efficiently detect 
                         multiple emergent clusters in a space-time point process. Emergent 
                         cluster detection in large datasets is a ubiquitous task in any 
                         application area where fast response is crucial, like epidemic 
                         surveillance, criminology or social networks behavior changing. 
                         Although different authors investigate aspects of efficient 
                         spatio-temporal cluster detection, they handle either multiple or 
                         prospective detection of spatio-temporal clusters. Our work 
                         concomitantly presents a solution for both aspects: prospective 
                         and multiple cluster efficient detection in space and time. Our 
                         results with synthetic data are very encouraging, since with a 
                         wide range of parameters, we are able to detect multiple clusters 
                         in about 90% of the scenarios with very low type I and II errors 
                         (less than 2%), without increasing delay time.",
  conference-location = "Campos do Jord{\~a}o",
      conference-year = "24-27 nov. 2013",
                 issn = "2179-4820",
             language = "en",
                  ibi = "8JMKD3MGP8W/3FCBQME",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3FCBQME",
           targetfile = "paper7.pdf",
        urlaccessdate = "18 maio 2024"
}