InforLorV4, Main, Exploration, bibRecord, 000D75

Characterization of Database Dependencies with FCA and Pattern Structures

Identifieur interne : 000D75 ( Main/Exploration ); précédent : 000D74; suivant : 000D76

Characterization of Database Dependencies with FCA and Pattern Structures

Auteurs : Jaume Baixeries [Espagne] ; Mehdi Kaytoue [France] ; Amedeo Napoli [France]

Source :

RBID : Hal:hal-01101147

English descriptors

mix :
- Attribute implications, data analysis, data dependencies, formal concept analysis, pattern structures.

Abstract

In this review paper, we present some recent results on the characterization of Functional Dependencies and variations with the formalism of Pattern Structures and Formal Concept Analysis. Although these dependencies have been paramount in database theory, they have been used in different fields: artificial intelligence and knowledge discovery, among others.

Url:

https://hal.inria.fr/hal-01101147

DOI: 10.1007/978-3-319-12580-0_1

Affiliations:

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

to stream Hal, to step Corpus: 001444
to stream Hal, to step Curation: 001444
to stream Hal, to step Checkpoint: 000D57
to stream Main, to step Merge: 000D71
to stream Main, to step Curation: 000D75

Le document en format XML

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<idno type="IdRef">02636817X</idno>
<orgName>Centre National de la Recherche Scientifique</orgName>
<orgName type="acronym">CNRS</orgName>
<date type="start">1939-10-19</date>
<desc><address><country key="FR"></country>
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<ref type="url">http://www.cnrs.fr/</ref>
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</hal:affiliation>
<country>France</country>
<placeName><settlement type="city">Nancy</settlement>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université de Lorraine</orgName>
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<idno type="DOI">10.1007/978-3-319-12580-0_1</idno>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Attribute implications</term>
<term>data analysis</term>
<term>data dependencies</term>
<term>formal concept analysis</term>
<term>pattern structures</term>
</keywords>
</textClass>
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<front><div type="abstract" xml:lang="en">In this review paper, we present some recent results on the characterization of Functional Dependencies and variations with the formalism of Pattern Structures and Formal Concept Analysis. Although these dependencies have been paramount in database theory, they have been used in different fields: artificial intelligence and knowledge discovery, among others.</div>
</front>
</TEI>
<affiliations><list><country><li>Espagne</li>
<li>France</li>
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<li>Grand Est</li>
<li>Lorraine (région)</li>
<li>Rhône-Alpes</li>
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<settlement><li>Lyon</li>
<li>Metz</li>
<li>Nancy</li>
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<orgName><li>Université Claude Bernard Lyon 1</li>
<li>Université de Lorraine</li>
<li>Université de Lyon</li>
</orgName>
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<tree><country name="Espagne"><noRegion><name sortKey="Baixeries, Jaume" sort="Baixeries, Jaume" uniqKey="Baixeries J" first="Jaume" last="Baixeries">Jaume Baixeries</name>
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<country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Kaytoue, Mehdi" sort="Kaytoue, Mehdi" uniqKey="Kaytoue M" first="Mehdi" last="Kaytoue">Mehdi Kaytoue</name>
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Characterization of Database Dependencies with FCA and Pattern Structures

Characterization of Database Dependencies with FCA and Pattern Structures

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