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Data mining in reaction databases. Extraction of knowledge on topology-based and functionality-based transformations

Identifieur interne : 001A60 ( Hal/Curation ); précédent : 001A59; suivant : 001A61

Data mining in reaction databases. Extraction of knowledge on topology-based and functionality-based transformations

Auteurs : Sandra Berasaluce [France] ; Gilles Niel [France] ; Amedeo Napoli [France] ; Claude Laurenço [France]

Source :

RBID : Hal:inria-00099730

Descripteurs français

Abstract

Poster. Knowledge extraction in chemical reaction databases using frequent itemset search and association rule extraction.

Url:

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


Links to Exploration step

Hal:inria-00099730

Le document en format XML

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<author role="aut">
<persName>
<forename type="first">Sandra</forename>
<surname>Berasaluce</surname>
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<forename type="first">Gilles</forename>
<surname>Niel</surname>
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<persName>
<forename type="first">Amedeo</forename>
<surname>Napoli</surname>
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<email>napoli@loria.fr</email>
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<author role="aut">
<persName>
<forename type="first">Claude</forename>
<surname>Laurenço</surname>
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<idno type="localRef">A03-R-493 || berasaluce03a</idno>
<meeting>
<title>First Lilly Distinguished Lectureship</title>
<date type="start">2003-11</date>
<settlement>Namur, Belgium</settlement>
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<respStmt>
<resp>conferenceOrganizer</resp>
<name>Alain Krief</name>
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<date type="datePub">2003-11</date>
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<language ident="en">English</language>
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<keywords scheme="author">
<term xml:lang="fr">systèmes d'information chimique</term>
<term xml:lang="fr">chemical information system</term>
<term xml:lang="fr">knowledge extraction</term>
<term xml:lang="fr">data mining</term>
<term xml:lang="fr">bases de données de réactions</term>
<term xml:lang="fr">fouille de données</term>
<term xml:lang="fr">extraction de connaissances</term>
<term xml:lang="fr">méthodes de synthèse</term>
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<classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
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<abstract xml:lang="en">Poster. Knowledge extraction in chemical reaction databases using frequent itemset search and association rule extraction.</abstract>
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