Publications

Publications by LIAAD

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

2005

A weighted rank measure of correlation

Authors
Da Costa, JP; Soares, C;

Publication
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Abstract
Spearman's rank correlation coefficient is not entirely suitable for measuring the correlation between two rankings in some applications because it treats all ranks equally. In 2000, Blest proposed an alternative measure of correlation that gives more importance to higher ranks but has some drawbacks. This paper proposes a weighted rank measure of correlation that weights the distance between two ranks using a linear function of those ranks, giving more importance to higher ranks than lower ones. It analyses its distribution and provides a table of critical values to test whether a given value of the coefficient is significantly different from zero. The paper also summarizes a number of applications for which the new measure is more suitable than Spearman's.

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