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Sampling Representation Contexts with Attribute Exploration

Victor Codocedo 1 Jaume Baixeries 2 Mehdi Kaytoue 3, 4 Amedeo Napoli 5 
3 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
5 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : We tackle the problem of constructing the representation context of a pattern structure. First, we present a naive algorithm that computes the representation context of a pattern structure. Then, we add a sampling technique in order to reduce the size of the output. We show that these techniques reduce significantly the size of the representation context for interval pattern structures.
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Submitted on : Saturday, October 10, 2020 - 2:06:00 PM
Last modification on : Tuesday, October 25, 2022 - 4:23:39 PM
Long-term archiving on: : Monday, January 11, 2021 - 6:12:57 PM


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Victor Codocedo, Jaume Baixeries, Mehdi Kaytoue, Amedeo Napoli. Sampling Representation Contexts with Attribute Exploration. ICFCA 2019 - 15th International Conference on Formal Concept Analysis, Jun 2019, Frankfurt, Germany. pp.307-314, ⟨10.1007/978-3-030-21462-3_20⟩. ⟨hal-02195498⟩



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