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Detalhe da Disciplina
Curso: Pós-Graduação em Sistemas Estatísticos
Unidade curricular: Descriptive Data Mining
Semestre: Outono
Número de créditos: 6,0
Docentes: 
Nuno Miguel da Conceição António
 (Docente responsável)

Número de horas de aula por semana: 0.00
Objetivos da unidade curricular:

Data Mining uses interdisciplinary techniques, such as statistics, data visualization, database systems, and machine learning to identify original, useful, and understandable patterns in data.
This course will familiarize students with Data Mining applications and Data Mining projects lifecycle. Students will learn techniques for understanding and preparing data before building descriptive models, such as clustering or association rules (e.g., market basket analysis).

Requisitos de frequência:

Familiarity with the main theme of the course is not required. But it is highly recommended that the students have knowledge of Inferential Statistics as well as good skills as a computer user.

Língua de ensino: Português. Em caso de existirem alunos ou professores estrangeiros, as aulas serão dadas em Inglês.

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