Data Bases and Knowledge

Code:

LEC513

Acronym:

BDC

Keywords
Classification	Keyword
OFICIAL	Mathematics and Informatics

Instance: 2005/2006 - 1S

Active?	Yes
Web Page:	http://www.niaad.liacc.up.pt/~jgama/Bdc/bdc.html
Responsible unit:	Matematics and Informatics Group
Course/CS Responsible:	ECONOMICS

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
ECO	2	Official Curricular Structure since 2004	4	3	6	-
GES	1	Official Curricular Structure since 2004	4	3	6	-

Objectives

Introduction to multidimensional data bases.
Decision support systems.
Techniques for knowledge extraction from data bases and Data Mining.
Innovative applications to Economics and Management.

Program

* Multidimensional Data Bases
From OLTP to OLAP.
Datawarehouses.
Summarizing data.

* Knowledge Extraction from Data Bases
Problems and Tasks in Data Mining.
Methods and techniques for Data Mining.
Discritive and Predictive data mining.
Bayesian Methods.
Decision Trees and Decision Rules.
Evaluation of predictive models.
Regression models. Neural nets and regression trees.
Ensemble Models.
Data Streams and Concept Change.

* Decision support and Expert systems.

Main Bibliography

* Sistemas de Suporte a Decisão, Bruno Cortes,
FCA-Editora de Informatica
* Michael Berthold, David Hand, Intelligent Data Analysis, Springer, 1999.
* Ian Witten, Eibe Frank: Data Mining: practical machine learning tools and techniques with Java implementations, Morgan Kaufmann, 2000.
* T. Mitchell: Machine Learning, McGraw Hill, 1997.
* S.Russell, P.Norwig: Artificial Intelligence: A Modern Approach,

Complementary Bibliography

- Lecture notes prepared by the teacher

Teaching methods and learning activities

Theoretical-practical classes

Software

C5, Weka, R, XLMiner

Evaluation Type

Distributed evaluation with final exam

Calculation formula of final grade

60% Home-works + 40% Exam