In this paper, we study the use of data mining techniques for stylistic analysis, from a
linguistic point of view, by considering emerging sequential patterns. First, we show that …

Dans cet article, nous présentons une étude sur l'utilisation de méthodes de fouille de
données pour l'analyse stylistique-d'un point de vue linguistique-en considérant des motifs …

In this paper, we address the problem of mining sequential patterns under multiple
constraints. Unlike classical algorithms, our approach handles various types of constraints …

Background Discovering gene interactions and their characterizations from biological text
collections is a crucial issue in bioinformatics. Indeed, text collections are large and it is very …

Summarizing sequential data with serial episodes allows non-trivial insight into the data
generating process. Existing methods penalize gaps in pattern occurrences equally …

In this paper, we present a method to automatically detect and characterise interactions
between genes in biomedical literature. Our approach is based on a combination of data …

Biomedical named entity recognition (NER) is a challenging problem. In this paper, we show
that mining techniques, such as sequential pattern mining and sequential rule mining, can …

Dans. ce mémoire, nous nous intéressons au problème de l'extraction de règles
d'association positives et négatives valides, et ses applications en didactique des …

Cet article montre l'intérêt d'utiliser les motifs issus des méthodes de fouille de données
dans le domaine du TAL appliqué à la biologie médicale et génétique, et plus …

We propose an interactive approach for post-processing serial episodes mined from
sequential data, ie time-stamped sequences of events. The strength of the approach rests …