  This article extends the method of Garriga et al. for mining relevant rules
to numerical attributes by extracting interval-based pattern rules. We propose
an algorithm that extracts such rules from numerical datasets using the
interval-pattern approach from Kaytoue et al. This algorithm has been
implemented and evaluated on real datasets.
