Work

A Data Mining Approach to Identify Sexuality Patterns in a Brazilian University Population.

Year: 2015

Type: article

Source: PubMed

Authors: Priscyla Waleska Simões, Samuel Cesconetto, Larissa Letieli Toniazzo de Abreu, Merisandra Côrtes de Mattos Garcia, José Márcio Cassettari Junior, Eros Comunello, Luciane Bisognin Ceretta, Sandra Aparecida Manenti

Institutions: Universidade do Extremo Sul Catarinense, Universidade Federal de Santa Catarina

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Gender equality, Good health and well-being, Reduced inequalities

Open Access status: closed

OpenAlex ID: W1156091380

FWCI:

Cites: 3

Cited by: 1

Related to: 10