4 papers
Integrating Statistical Significance and Discriminative Power in Pattern Discovery
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Pattern discovery plays a central role in both descriptive and predictive tasks across multiple domains. Actionable patterns must meet rigorous statistical significance criteria an…
TriSig: Assessing the statistical significance of triclusters
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Tensor data analysis allows researchers to uncover novel patterns and relationships that cannot be obtained from matrix data alone. The information inferred from the patterns provi…
Scaling pattern mining through non-overlapping variable partitioning
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Biclustering algorithms play a central role in the biotechnological and biomedical domains. The knowledge extracted supports the extraction of putative regulatory modules, essentia…
DI2: prior-free and multi-item discretization ofbiomedical data and its applications
Leonardo Alexandre, Rafael S. Costa, Rui Henriques
Motivation: A considerable number of data mining approaches for biomedical data analysis, including state-of-the-art associative models, require a form of data discretization. Alth…