Mining Soft- Skypatterns using Dynamic CSPReport as inadecuate

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1 Equipe CODAG - Laboratoire GREYC - UMR6072 GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen 2 CERMN - Centre d-Etudes et de Recherche sur le Médicament de Normandie

Abstract : Within the pattern mining area, skypatterns enable to express a userpreference point of view according to a dominance relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. First, we show how softness can provide convenient patterns that would be missed otherwise. Then, thanks to Constraint Programming, we propose a generic and efficient method to mine skypatterns as well as soft ones. Finally, we show the relevance and the effectiveness of our approach through a case study in chemoinformatics.

Author: Willy Ugarte Rojas - Patrice Boizumault - Samir Loudni - Bruno Crémilleux - Alban Lepailleur -



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