ECO Research Project
Universidade do Minho
This project is in the area of Extraction of Knowledge
(Knowledge Discovery in Data Bases or Data Mining), which is rather recent but
expanding rapidly. The objective of the work is to find methods for
non-trivial extraction of information which is implicit in the existing data.
The goal is to obtain information which is potentially useful and which can be
represented in a high-level language so as to facilitate interpretation.
As the aim is to apply the methods to real data, that is, volumes of data
which tend to be relatively large, the work involves adaptation of some
data pre-processing techniques whose objective is to reduce its complexity.
The second objective involves the adaptation of AI techniques, and
particularly those of machine learning.
ECO Partners
Universidade do Porto, LIACC
Universidade Nova de Lisboa, Depart. Informatica
Universidade Nova de Lisboa, Depart. Matematica
Instituto Nacional de Estatistica
Universidade do Minho, Depart. Informatica
Our group is particularly concerned in applying deductive databases
techniques to improve the ILP algorithms, namely query-answering techniques.
Also, we intend to investigate novel techniques for the induction of
databases attribute dependencies (and other data dependencies) from relational
databases using novel ideas of subsumption from a logic programming
perspective. This is also related to the desirable features of extracting
knowledge from databases in constant mutation.
ECO Related Papers
Magic Sets with Full Sharing
(Technical Report).
Magic Sets with Full Sharing
(to appear at the Journal of Logic Programming).
Tuple Tabulation (Technical Report).
mantained by Paulo Azevedo
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