Mining relevant interval rules

September 11, 2017 Β· Declared Dead Β· πŸ› International Conference on Formal Concept Analysis

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Authors Thomas Guyet, RenΓ© Quiniou, VΓ©ronique Masson arXiv ID 1709.03267 Category cs.AI: Artificial Intelligence Cross-listed cs.DB Citations 5 Venue International Conference on Formal Concept Analysis Last Checked 4 months ago
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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