Mining relevant interval rules
arXiv:1709.03267
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)