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
(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
