5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.IR2009★ 5 cited
Weighted Naive Bayes Model for Semi-Structured Document Categorization
Pierre-François Marteau, Gilbas Ménier, Eugen Popovici
The aim of this paper is the supervised classification of semi-structured data. A formal model based on bayesian classification is developed while addressing the integration of the…
cs.IR2008
Interprétation vague des contraintes structurelles pour la RI dans des corpus de documents XML - Évaluation d'une méthode approchée de RI structurée
Eugen Popovici, Gilbas Ménier, Pierre-François Marteau
We propose specific data structures designed to the indexing and retrieval of information elements in heterogeneous XML data bases. The indexing scheme is well suited to the manage…