Name
Title | ||
|---|---|---|
A Data Mining Approach to Identify Sexuality Patterns in a Brazilian University Population. |
Abstract | ||
|---|---|---|
This paper presents the profile and experience of sexuality generated from a data mining classcation 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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/978-1-61499-564-7-1074 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Medical Informatics,Artificial Intelligence,Data Mining,Sexuality | Data science,Population,Data mining,Human factors and ergonomics,Research methodology,Accident prevention,Medicine,Human sexuality,Personality | Conference |
Volume | ISSN | Citations |
216 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 2 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Priscyla Waleska Targino de Azevedo Simões | 1 | 2 | 1.86 |
| Samuel Cesconetto | 2 | 1 | 0.82 |
| Larissa Letieli Toniazzo de Abreu | 3 | 0 | 0.68 |
| Merisandra Côrtes de Mattos Garcia | 4 | 0 | 0.34 |
| José Márcio Cassettari Junior | 5 | 1 | 0.82 |
| Eros Comunello | 6 | 66 | 15.04 |
| Luciane Bisognin Ceretta | 7 | 0 | 1.69 |
| Sandra Aparecida Manenti | 8 | 1 | 0.82 |