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Building a Representation Context Based on Attribute Exploration Algorithms

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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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Dates and versions

hal-03122343 , version 1 (26-01-2021)

Identifiers

  • HAL Id : hal-03122343 , version 1

Cite

Jaume Baixeries, Victor Codocedo, Mehdi Kaytoue, Amedeo Napoli. Building a Representation Context Based on Attribute Exploration Algorithms. FCA4AI 2020 - 8th International Workshop "What can {FCA} 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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