InforLorV4, Main, Exploration, bibRecord, 000689

Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing

Identifieur interne : 000689 ( Main/Exploration ); précédent : 000688; suivant : 000690

Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing

Auteurs : Mehdi Kaytoue [France] ; Victor Codocedo [France] ; Aleksey Buzmakov [France] ; Jaume Baixeries [Espagne] ; Sergei O. Kuznetsov [Russie] ; Amedeo Napoli [France]

Source :

RBID : Hal:hal-01188637

Abstract

This article aims at presenting recent advances in Formal Concept Analysis (2010-2015), especially when the question is dealing with complex data (numbers, graphs, sequences, etc.) in domains such as databases (functional dependencies), data-mining (local pattern discovery), information retrieval and information fusion. As these advances are mainly published in artificial intelligence and FCA dedicated venues, a dissemination towards data mining and machine learning is worthwhile.

Url:

https://hal.archives-ouvertes.fr/hal-01188637

DOI: 10.1007/978-3-319-23461-8_19

Affiliations:

Links toward previous steps (curation, corpus...)

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Le document en format XML

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<front><div type="abstract" xml:lang="en">This article aims at presenting recent advances in Formal Concept Analysis (2010-2015), especially when the question is dealing with complex data (numbers, graphs, sequences, etc.) in domains such as databases (functional dependencies), data-mining (local pattern discovery), information retrieval and information fusion. As these advances are mainly published in artificial intelligence and FCA dedicated venues, a dissemination towards data mining and machine learning is worthwhile.</div>
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Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing

Pattern Structures and Concept Lattices for Data Mining and Knowledge Processing

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