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Ferreira, J. & Ferreira, Joao C.and Lage, Sergeand Pinto, Iolaand Antunes, Nuno (2018). Fishing Monitor System Data: A Na{\. In Madureira and Ana Mariaand Abraham and Ajithand Gamboa and Dorabelaand Novais and Paulo (Ed.), Intelligent Systems Design and Applications: 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016. (pp. 582-591). Cham: Springer International Publishing.
J. C. Ferreira and F. J. Nuno, "Fishing Monitor System Data: A Na{\", in Intelligent Systems Design and Applications: 16th Int. Conf. on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016, Madureira and Ana Mariaand Abraham and Ajithand Gamboa and Dorabelaand Novais and Paulo, Ed., Cham, Springer International Publishing, 2018, vol. 557, pp. 582-591
@incollection{ferreira2018_1734843130562, author = "Ferreira, J. and Ferreira, Joao C.and Lage, Sergeand Pinto, Iolaand Antunes, Nuno", title = "Fishing Monitor System Data: A Na{\", chapter = "", booktitle = "Intelligent Systems Design and Applications: 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016", year = "2018", volume = "557", series = "", edition = "", pages = "582-582", publisher = "Springer International Publishing", address = "Cham", url = "http://dx.doi.org/10.1007/978-3-319-53480-0_57" }
TY - CHAP TI - Fishing Monitor System Data: A Na{\ T2 - Intelligent Systems Design and Applications: 16th International Conference on Intelligent Systems Design and Applications (ISDA 2016) held in Porto, Portugal, December 16-18, 2016 VL - 557 AU - Ferreira, J. AU - Ferreira, Joao C.and Lage, Sergeand Pinto, Iolaand Antunes, Nuno PY - 2018 SP - 582-591 SN - 2194-5357 DO - 10.1007/978-3-319-53480-0_57 CY - Cham UR - http://dx.doi.org/10.1007/978-3-319-53480-0_57 AB - This paper discusses the results of an applied research on the fishing activity based on a monitor system developed by a company and fishing reports produced at the end of each fishing activity. Due to economic interests combined with fishing limitations there is a natural tendency for wrong reporting. We apply Data Mining (DM) methodologies to find fishing patterns. These DM techniques in SQL tool allow to deal with the high volume of this data set and determine the major factors that influence fishing activity. ER -