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@InProceedings{AlencarOliPauMinAnd:2007:SiViTi,
               author = "Alencar, Aretha Barbosa and Oliveira, Maria Cristina Ferreira de 
                         and Paulovich, Fernando Vieira and Minghim, Rosane and Andrade, 
                         Marinho Gomes de",
          affiliation = "{Universidade de S{\~a}o Paulo} and {Universidade de S{\~a}o 
                         Paulo} and {Universidade de S{\~a}o Paulo} and {Universidade de 
                         S{\~a}o Paulo} and {Universidade de S{\~a}o Paulo}",
                title = "Temporal-PEx: similarity-based visualization of time series",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Gon{\c{c}}alves, Luiz and Wu, Shin Ting",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "data visualization, time series.",
             abstract = "Time series analysis poses many challenges to professionals in a 
                         wide range of domains. Several visualization solutions integrated 
                         with mining algorithms have been proposed for exploratory tasks on 
                         time series collections. As the data sets grow large, though, the 
                         visual alternatives do not allow for a good association between 
                         similar time series. In this paper we introduce a visual 
                         representation or large time series data sets generated by 
                         multidimensional projections based on distance measures.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "TemporalPEx.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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