DATA MINING
Code: 22131
ECTS: 5
Departament: Department of Sciences and Technology
Field of Study: Computer Engineering
Keywords:
    classification
    clustering
    solutions evaluation
Teacher:
Luís Cavique
Área Científica: Computer Science.
E-mail: luis.cavique@uab.pt

Course Description:
The knowledge, patterns or trends extraction from database is a basic tool in decision support systems, which are applied in medium-sized businesses. This area is closely linked to databases techniques, statistics and machine learning.


Competences:
At end of this course each student shall be able to:
•Recognize the role and importance of data mining within the general context of the medium-sized businesses in the today’s information and knowledge society;
•Identify the main techniques, methodologies and tools for data mining considering large volume databases;
•Apply data mining techniques and tools in experimental context.


Contents:
1. Data pre- processing
2. Error measures
3. Associative Rules
4. Classification
4.1. Decision Trees
4.2. Classification Rules
4.3. Functional Models
4.4. Artificial Neural Networks
5. Clustering;
6. Models Evaluation and Comparison
7. Data post-processing


Bibliography:
Data Mining: Practical Machine Learning Tools and Techniques, de Ian H. Witten, Eibe Frank e  Mark A. Hall, Edições The Morgan Kaufmann Series in Data Management Systems, ISBN: 0123748569.
Data Mining - concepts and techniques, de Jiawei Han, Micheline Kamber e Jian Pei, Edições The Morgan Kaufmann Series in Data Management Systems, ISBN: 0123814790.
Análise Inteligente de Dados, de Miguel Rocha, Paulo Cortez e José Maia Neves, FCA- Editora de Informática, colecção de Tecnologias de Informação, ISBN 9789727222780.


Format:
E-learning


Workload (hours): 156
Contact Hours: 30

Assessment:
Evaluation is made on individual basis and it involves the coexistence of two modes: continuous assessment (60%) and final evaluation (40%). Further information is detailed in the Learning Agreement of the course unit.


Language(s) of Instruction: Portuguese.

Contact for virtual mobility students: Communication and International Relations Office – gcri@uab.pt