InforLorV4, Main, Exploration, bibRecord, 002087

Symbolic Data Analysis and Formal Concept Analysis

Identifieur interne : 002087 ( Main/Exploration ); précédent : 002086; suivant : 002088

Symbolic Data Analysis and Formal Concept Analysis

Auteurs : Mehdi Kaytoue [France] ; Sergei O. Kuznetsov [Russie] ; Amedeo Napoli [France] ; Géraldine Polaillon [France]

Source :

RBID : Hal:hal-00646457

Abstract

Formal concept analysis (FCA) can be used for designing concept lattices from binary data for knowledge discovery purposes. Pattern structures in FCA are able to deal with complex data. In addition, this formalism provides a concise and an efficient algorithmic view of the formalism of symbolic data analysis (SDA)

Url:

https://hal.inria.fr/hal-00646457

Affiliations:

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

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to stream Hal, to step Curation: 004948
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Le document en format XML

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<author><name sortKey="Polaillon, Geraldine" sort="Polaillon, Geraldine" uniqKey="Polaillon G" first="Géraldine" last="Polaillon">Géraldine Polaillon</name>
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<front><div type="abstract" xml:lang="en">Formal concept analysis (FCA) can be used for designing concept lattices from binary data for knowledge discovery purposes. Pattern structures in FCA are able to deal with complex data. In addition, this formalism provides a concise and an efficient algorithmic view of the formalism of symbolic data analysis (SDA)</div>
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<tree><country name="France"><region name="Grand Est"><name sortKey="Kaytoue, Mehdi" sort="Kaytoue, Mehdi" uniqKey="Kaytoue M" first="Mehdi" last="Kaytoue">Mehdi Kaytoue</name>
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<country name="Russie"><noRegion><name sortKey="O Kuznetsov, Sergei" sort="O Kuznetsov, Sergei" uniqKey="O Kuznetsov S" first="Sergei" last="O. Kuznetsov">Sergei O. Kuznetsov</name>
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Symbolic Data Analysis and Formal Concept Analysis

Symbolic Data Analysis and Formal Concept Analysis

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