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Building a Representation Context Based on Attribute Exploration Algorithms

Abstract : In this paper we discuss 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 using an algorithm which is a variation of attribute exploration. Then, we study a different sampling technique for reducing the size of the representation context. Finally we show how to build such a reduced context and we discuss the possible ways of doing it.
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Conference papers
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https://hal.inria.fr/hal-03122343
Contributor : Amedeo Napoli Connect in order to contact the contributor
Submitted on : Tuesday, January 26, 2021 - 11:11:02 PM
Last modification on : Friday, January 21, 2022 - 3:03:16 AM
Long-term archiving on: : Tuesday, April 27, 2021 - 7:53:52 PM

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  • HAL Id : hal-03122343, version 1

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Jaume Baixeries, Victor Codocedo, Mehdi Kaytoue, Amedeo Napoli. Building a Representation Context Based on Attribute Exploration Algorithms. FCA4AI 2020 - 8th International Workshop "What can do for Artificial Intelligence?", Sergei O. Kuznetsov; Amedeo Napoli; Sebastian Rudolph, Aug 2020, Santiago de Compostela/Virtual, Spain. pp.141--152. ⟨hal-03122343⟩

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