Sequence mining under multiple constraints
Résumé
In this paper, we address the problem of mining sequential patterns under multiple constraints. Unlike classical algorithms , our approach handles various types of constraints which are not only numeric but also symbolic and syntactic. These multiple constraints enable us to express a large scope of knowledge to focus on interesting patterns. We illustrate our approach with the detection of gene–rare disease relationships from biomedical texts for the documentation of rare diseases.