Fouille de textes par combinaison de règles d'association et d'indices statistiques
Identifieur interne : 008434 ( Main/Merge ); précédent : 008433; suivant : 008435Fouille de textes par combinaison de règles d'association et d'indices statistiques
Auteurs : Hacène Cherfi [France] ; Yannick Toussaint [France]Source :
English descriptors
- mix :
Abstract
Nous proposons la description d'une méthodologie d'accès et de lecture des règles d'association extraites à partir de textes. Le corpus ayant servi à notre expérimentation est constitué de résumés d'articles scientifiques dans le domaine de la biologie moléculaire. Ce processus génère un trop grand nombre de règles et nous amène à chercher à les trier de la plus informative à la moins informative.Le classement est établi suivant des indices statistiques. Une discussion sur nos résultats identifie quelques points ayant un impact sur l'interprétabilité des règles d'association. || This paper aims at defining a methodology of access and reading of association rules extracted from texts. The corpus used is a set of scientific abstracts in the field of molecular biology. The mining process often generates a huge number of rules. This
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- to stream Hal, to step Corpus: 005C75
- to stream Hal, to step Curation: 005C75
- to stream Hal, to step Checkpoint: 005610
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Hal:inria-00107581Le document en format XML
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<front><div type="abstract" xml:lang="fr">Nous proposons la description d'une méthodologie d'accès et de lecture des règles d'association extraites à partir de textes. Le corpus ayant servi à notre expérimentation est constitué de résumés d'articles scientifiques dans le domaine de la biologie moléculaire. Ce processus génère un trop grand nombre de règles et nous amène à chercher à les trier de la plus informative à la moins informative.Le classement est établi suivant des indices statistiques. Une discussion sur nos résultats identifie quelques points ayant un impact sur l'interprétabilité des règles d'association. || This paper aims at defining a methodology of access and reading of association rules extracted from texts. The corpus used is a set of scientific abstracts in the field of molecular biology. The mining process often generates a huge number of rules. This</div>
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