Decision tree induction methods using an entropy criterion

International audienceIn this contribution, we propose an approach in order to construct a set of rules from observed data, which allows to obtain a qualitatif model of the system : an atomic model, based on the notion of filtering of the contingency table, is generalized via decision tree induction methods using a conditional entropy criterion.We propose two approaches of the multi-variable knowledge problem (as part of the decision tree induction methods)