Data mining aims at finding interesting patterns from datasets, where``interesting''means
reflecting intrinsic dependencies in the domain of interest rather than just in the dataset.
Concept stability is a popular relevancy measure in FCA but its behaviour have never been
studied on various datasets. In this paper we propose an approach to study this behaviour.
Our approach is based on a comparison of stability computation on datasets produced by
the same general population. Experimental results of this paper show that high stability of a …