XXI Simpósio Brasileiro de Banco de Dados Query Driven Sequence Pattern Mining (2009)
Pedro G. Ferreira, Paulo J. Azevedo
Abstract. The discovery of frequent patterns present in biological sequences has a large number of applications, ranging from classification, clustering and understanding sequence structure and...
A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering (2008)
Pedro Gabriel Ferreira, Cândida G. Silva, Paulo J. Azevedo
Abstract — Understanding protein folding and unfolding mechanisms are a central problem in molecular biology. Data obtained from molecular dynamics unfolding simulations may provide valuable...
numerical properties of interest (2008)
Alípio M. Jorge, O Pereira, Paulo J. Azevedo
interactive subgroup discovery with
Iterative Reordering of Rules for Building Ensembles without Relearning ⋆ (2008)
Paulo J. Azevedo, Alípio M. Jorge
Abstract. We study a new method for improving the classification accuracy of a model composed of classification association rules (CAR). The method consists in reordering the original set of rules...
Distribution rules with numeric attributes of interest ⋆ (2008)
Alípio M. Jorge, Paulo J. Azevedo, O Pereira
Abstract. In this paper we introduce distribution rules, a kind of association rules with a distribution on the consequent. Distribution rules are related to quantitative association rules but can be...
Mining Approximate Motifs in Time Series (2008)
Pedro G. Ferreira, Paulo J. Azevedo, Cândida G. Silva
Abstract. The problem of discovering previously unknown frequent patterns in time series, also called motifs, has been recently introduced. A motif is a subseries pattern that appears a significant...
Query Driven Sequence Pattern Mining (2008)
Pedro G. Ferreira, Paulo J. Azevedo
Abstract. The discovery of frequent patterns present in biological sequences has a large number of applications, ranging from classification, clustering and understanding sequence structure and...
Alípio M. Jorge, O Pereira, Paulo J. Azevedo
interactive subgroup discovery for
Evaluating deterministic motif significance measures in protein databases (2007)
Ferreira, Pedro, Azevedo, Paulo J
Abstract Background Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
This paper investigates a tuple-oriented approach to tabulation. In this approach solutions to a call are stored and computed one at a time, which results in tables contain incomplete sets of...
J. LOGIC PROGRAMMING 1996:12:1--199 1 MAGIC SETS WITH FULL SHARING (2007)
In this paper we study the relationship between tabulation and goal oriented bottom up evaluation of logic programs. Differences emerge when one tries to identify features of one evaluation method in...
Algorithms for Molecular Biology 2007, 2:16 doi:10.1186/1748-7188-2-16 (2007)
Pedro Gabriel Ferreira, Paulo J. Azevedo, Pedro Gabriel Ferreira, Paulo J. Azevedo
This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon.
Mining approximate motifs in time series (2006)
Azevedo, Paulo J., Ferreira, Pedro Gabriel, Silva, Cândida G., Brito, Rui M. M.
The problem of discovering previously unknown frequent patterns in time series, also called motifs, has been recently introduced. A motif is a subseries pattern that appears a significant number of...
Visual interactive subgroup discovery with numerical properties of interest (2006)
Azevedo, Paulo J., Jorge, Alípio M., Pereira, Fernando
Subgroup discovery consists in finding subsets of individuals from a given population which have distinctive collective properties with regard to one or more properties of interest. The interest of a...
Query driven sequence pattern mining (2006)
Azevedo, Paulo J., Ferreira, Pedro Gabriel
The discovery of frequent patterns present in biological sequences has a large number of applications, ranging from classification, clustering and understanding sequence structure and function. This...
An experiment with association rules and classification : post-bagging and conviction (2005)
Jorge, Alípio M., Azevedo, Paulo J.
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...
Protein sequence pattern mining with constraints (2005)
Ferreira, Pedro Gabriel, Azevedo, Paulo J.
Considering the characteristics of biological sequence databases, which typically have a small alphabet, a very long length and a relative small size (several hundreds of sequences), we propose a new...
An experiment with association rules and classification: Post-bagging and conviction (2005)
Alípio M. Jorge, Paulo J. Azevedo
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:...
Protein sequence classification through relevant sequence mining and bayes classifiers (2005)
Pedro Gabriel Ferreira, Paulo J. Azevedo
Abstract. We tackle the problem of sequence classification using relevant subsequences found in a dataset of protein labelled sequences. A subsequence is relevant if it is frequent and has a minimal...
An experiment with association rules and classification: Post-bagging and conviction (2005)
Alípio M. Jorge, Paulo J. Azevedo
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:...
Model-Based Collaborative Filtering (2004)
For Team Building, Miguel Veloso, Alípio Jorge, Paulo J. Azevedo
In this paper we describe an application of recommender systems to team building in a company or organization. The recommender system uses a collaborative filtering model based approach. Recommender...
CAREN - A java based apriori implementation for classification purposes (2003)
In this document a java based implementation of the well know Apriori algorithm is described. The association rule generator is constructed toward the generation of classifiers. A detailed...
Magic Sets with Full Sharing (1995)
This paper discusses the relationship between tabulation and goal-oriented bottomup evaluation of logic programs. Some differences emerge when one tries to identify features of one evaluation method...