Mining relevant interval rules

Thomas Guyet 1, 2 René Quiniou 1 Véronique Masson 3, 1
1 LACODAM - Large Scale Collaborative Data Mining
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
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.
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  • HAL Id : hal-01584981, version 1
  • ARXIV : 1709.03267

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Thomas Guyet, René Quiniou, Véronique Masson. Mining relevant interval rules. International Conference on Formal Concept Analysis, Jun 2017, Rennes, France. ⟨hal-01584981⟩

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