@inproceedings{4af544fbde534a1f8abe96fb0039f755,
title = "Fishing monitor system data: A na{\"i}ve bayes approach",
abstract = "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.",
keywords = "Data mining, Fishing activity, Na{\"i}ve bayes, Patterns",
author = "Ferreira, {Joao C.} and Serge Lage and Iola Pinto and Nuno Antunes",
note = "Sem PDF.; 16th International Conference on Intelligent Systems Design and Applications, ISDA 2016 ; Conference date: 16-12-2016 Through 18-12-2016",
year = "2017",
doi = "10.1007/978-3-319-53480-0_57",
language = "English",
isbn = "9783319534794",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "582--591",
editor = "Paulo Novais and Madureira, {Ana Maria} and Ajith Abraham and Dorabela Gamboa",
booktitle = "Intelligent Systems Design and Applications - 16th International Conference on Intelligent Systems Design and Applications, ISDA 2016",
address = "Germany",
}