Text mining is an increasingly important research field because of the necessity of obtaining
knowledge from the enormous number of text documents available, especially on the Web …

Rule mining has emerged as a crucial technique in data mining and knowledge discovery,
enabling the extraction of valuable insights and patterns from vast datasets. This has …

Ce travail de thèse adresse deux principaux problèmes en recherche d'information:(1) la
formalisation automatique des préférences utilisateur,(ou la pondération automatique de …

As research on the Semantic Web actively progresses, a more intelligent Web environment
is expected in various domains including rule-based systems and intelligent agents …

In this paper we present our research of online hot topic detection and label extraction
method for our hot topic recommendation system. Using a new topical feature selection …

Most ontology learning tools concentrate on extracting concepts and instances from text
corpora. There are some recent tools that employ linguistics or data mining to uncover …

Résumé Ce travail de thèse traite deux principaux problèmes en recherche d'information: la
pondération des requêtes et l'indexation sémantique des documents. Notre contribution …

Several concepts and techniques have been imported from other disciplines such as
Machine Learning and Artificial Intelligence to the field of textual data. In this paper, we focus …

Ontology learning is the application of automatic tools to extract ontology concepts and
relationships from domain text. Whereas ontology learning tools have been fairly successful …

Many databases in real life involve pairs of the form (item, quantity). This kind of data can be
characterized using the theory of bags. We present a general framework for extracting useful …