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1 ORPAILLEUR - Knowledge representation, reasonning INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications

Abstract : This paper proposes a methodology for text mining relying on the classical knowledge discovery loop, with a number of adaptations. First, texts are indexed and prepared to be processed by frequent itemset levelwise search. Association rules are then extracted and interpreted, with respect to a set of quality measures and domain knowledge, under the control of an analyst. The article includes an experimentation on a real-world text corpus holding on molecular biology.

Mots-clés : règles d-association molecular biology association rules text mining quality measures fouille de textes mesures de qualité biologie moléculaire





Autor: Hacène Cherfi - Amedeo Napoli - Yannick Toussaint -

Fuente: https://hal.archives-ouvertes.fr/



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