Mining relevant interval rules
Artificial Intelligence
2017-09-12 v1 Databases
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.
Keywords
Cite
@article{arxiv.1709.03267,
title = {Mining relevant interval rules},
author = {Thomas Guyet and René Quiniou and Véronique Masson},
journal= {arXiv preprint arXiv:1709.03267},
year = {2017}
}
Comments
International Conference on Formal Concept Analysis, Jun 2017, Rennes, France. Supplementary proceedings of International Conference on Formal Concept Analysis (ICFCA)