@InProceedings{BentoKuxKört:2019:AsClTh,
               author = "Bento, Bruna Maria Pechini and Kux, Hermann Johann Heinrich and 
                         K{\"o}rting, Thales Sehn",
          affiliation = "{Norwegian School of Economics} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Assessment of classifiers through decision tree and regression 
                         tree algorithms in urban area using Worldview-2 image",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2101--2104",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "WorldView-2, GEOBIA, Data mining, C4.5 Algorithm, CART 
                         Algorithm.",
             abstract = "Geographic Object-Based Image Analysis allows the simulation from 
                         the view of a human interpreter using knowledge models expressed 
                         by semantic networks. Data mining techniques have been widely used 
                         as a support tool for the construction of the semantic network. In 
                         this sense, the aim of this study is to analyze the performance of 
                         the CART and C4.5 algorithms, which use decision trees, to 
                         classify urban land cover. A WorldView-2 image was used for this 
                         analysis. Both algorithms presented good accuracy. The C4.5 
                         algorithm accuracy presented average values slightly higher than 
                         the CART algorithm. C4.5 was supported by other software for the 
                         execution of the analyses. This posed a challenge to the 
                         researchers for data integration, data format conversion and also 
                         file replication. Differently, the CART algorithm tested is part 
                         of an integrated GEOBIA platform, which benefits the user reducing 
                         the time spent to execute all the image analysis steps.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3TUT5U8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3TUT5U8",
           targetfile = "97285.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "27 abr. 2024"
}