Towards a Text Mining Methodology Using Frequent Itemsets and Association Rule ExtractionReport as inadecuate




Towards a Text Mining Methodology Using Frequent Itemsets and Association Rule Extraction - Download this document for free, or read online. Document in PDF available to download.

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





Author: Hacène Cherfi - Amedeo Napoli - Yannick Toussaint -

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



DOWNLOAD PDF




Related documents