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Article Dans Une Revue Soft Computing Année : 2006

Towards a Text Mining Methodology Using Association Rules Extraction

Résumé

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.

Dates et versions

inria-00000460 , version 1 (19-10-2005)

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Hacène Cherfi, Amedeo Napoli, Yannick Toussaint. Towards a Text Mining Methodology Using Association Rules Extraction. Soft Computing, 2006, A Fusion of Foundations, Methodologies and Applications, 10 (5), pp.431--441. ⟨10.1007/s00500-005-0504-x⟩. ⟨inria-00000460⟩
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