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Abstract: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.
* International Conference on Formal Concept Analysis, Jun 2017,
Rennes, France. Supplementary proceedings of International Conference on
Formal Concept Analysis (ICFCA)