Publications

Publications by LIAAD

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.

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2005

Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings

Authors
Jorge, A; Torgo, L; Brazdil, P; Camacho, R; Gama, J;

Publication
PKDD

Abstract

2005

Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings

Authors
Gama, J; Camacho, R; Brazdil, P; Jorge, A; Torgo, L;

Publication
ECML

Abstract

2005

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

Authors
Jorge, A; Torgo, L; Brazdil, P; Camacho, R; Gama, J;

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

Abstract

2005

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

Authors
Gama, J; Camacho, R; Brazdil, P; Jorge, A; Torgo, L;

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

Abstract

2005

Structuring probabilistic data by Galois lattices

Authors
Brito, P; Polaillon, G;

Publication
Mathématiques et sciences humaines

Abstract