Data mining in reaction databases. Extraction of knowledge on topology-based and functionality-based transformations
Identifieur interne : 001A60 ( Hal/Curation ); précédent : 001A59; suivant : 001A61Data 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 :
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Abstract
Poster. Knowledge extraction in chemical reaction databases using frequent itemset search and association rule extraction.
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<textClass><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>
</keywords>
<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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