C. Hébert

Mining δ-strong Characterization Rules in Large SAGE Data

Sylvain Blachon, B. Crémilleux, C. Hébert, 2007 .

Mining Frequent delta-Free Patterns in Large Databases

Bruno Crémilleux, Céline Hébert, B. Crémilleux, 2005, Discovery Science.

A Data Mining Formalization to Improve Hypergraph Minimal Transversal Computation

Bruno Crémilleux, Alain Bretto, Céline Hébert, 2007, Fundam. Informaticae.

A Unified View of Objective Interestingness Measures

Bruno Crémilleux, Céline Hébert, B. Crémilleux, 2007, MLDM.

Optimized Rule Mining Through a Unified Framework for Interestingness Measures

Bruno Crémilleux, Céline Hébert, B. Crémilleux, 2006, DaWaK.

Mining δ-strong Characterization Rules in Large SAGE Data

Sylvain Blachon, B. Crémilleux, C. Hébert, 2007 .