Publications

Publications by HASLab

2005

A Hybrid Method for Discovering Distance-Enhanced Inter-Transactional Rules

Authors
Ferreira, PG; Alves, R; Azevedo, PJ; Belo, O;

Publication
Actas de las X Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2005), September 14-16, 2005, Granada, Spain

Abstract

2005

CMB'05: Workshop on Computational Methods in Bioinformatics

Authors
Camacho, R; Alves, A; da Costa, JP; Azevedo, P;

Publication
2005 Portuguese Conference on Artificial Intelligence, Proceedings

Abstract

2005

Lecture Notes in Artificial Intelligence: Introduction

Authors
Camacho, R; Alves, A; Da Costa, JP; Azevedo, P;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

2005

12th Portuguese Conference on Artificial Intelligence, EPIA 2005 Covilha, Portugal, December 5-8, 2005 - Introduction

Authors
Camacho, R; Alves, A; da Costa, JP; Azevedo, P;

Publication
PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS

Abstract

2005

An experiment with association rules and classification: Post-bagging and conviction

Authors
Jorge, AM; Azevedo, PJ;

Publication
DISCOVERY SCIENCE, PROCEEDINGS

Abstract
In this paper we study a new technique we call post-bagging, which consists in resampling parts of a classification model rather then the data. We do this with a particular kind of model: large sets of classification association rules, and in combination with ordinary best rule and weighted voting approaches. We empirically evaluate the effects of the technique in terms of classification accuracy. We also discuss the predictive power of different metrics used for association rule mining, such as confidence, lift, conviction and chi(2). We conclude that, for the described experimental conditions, post-bagging improves classification results and that the best metric is conviction.

CloseRead Abstract

2005

Point-free program calculation

Authors
Cunha, A;

Publication

Abstract