@article{ref1,
title="A data mining approach to identify sexuality patterns in a Brazilian university population",
journal="Studies in health technology and informatics",
year="2015",
author="Waleska Simões, Priscyla and Cesconetto, Samuel and Toniazzo de Abreu, Larissa Letieli and Côrtes de Mattos Garcia, Merisandra and Cassettari Junior, José Márcio and Comunello, Eros and Bisognin Ceretta, Luciane and Aparecida Manenti, Sandra",
volume="216",
number="",
pages="1074-1074",
abstract="This paper presents the profile and experience of sexuality generated from a data mining classification task. We used a database about sexuality and gender violence performed on a university population in southern Brazil. The data mining task identified two relationships between the variables, which enabled the distinction of subgroups that better detail the profile and experience of sexuality. The identification of the relationships between the variables define behavioral models and factors of risk that will help define the algorithms being implemented in the data mining classification task.<p /> <p>Language: en</p>",
language="en",
issn="0926-9630",
doi="",
url="http://dx.doi.org/"
}