Publication in the Diário da República: Plano 4 - 2010/2011
5.5 ECTS; 3º Ano, 1º Semestre, 30,0 TP + 30,0 TC , Cód. 925067.
Lecturer
- Sandra Maria Gonçalves Vilas Boas Jardim (2)
(1) Docente Responsável
(2) Docente que lecciona
Prerequisites
Average knowledge of numeric methods and statistics
Objectives
At the end of the course, the students should be able to:
.identify the different concepts and methods of data mining
. develop data prediction models based on different techniques.
Program
Introduction
Data; data exploration
Classification - concepts; decision trees; model evaluation; alternative techniques
Association analysis and rules - concepts and algorithms
Grouping analysis - concepts and algorithms
Error detection
Matching analysis
Data mining techniques
Discriminant analysis
Models
Automatic learning
Evaluation Methodology
Test/Exam - 50% of final mark
Practical assignment - 50% of final mark
Bibliography
- H. Witten, I. e Frank, E. (2005). Data Mining: Practical Machine Learning Tools and Techniques. (Vol. 1). (pp. 1-361). San Francisco, USA: Morgan Kaufmann
Teaching Method
Software used in class
