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Communication Dans Un Congrès Année : 2013

Mining (Soft-)Skypatterns using Constraint Programming

Résumé

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.
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Dates et versions

hal-01024454 , version 1 (16-07-2014)

Identifiants

  • HAL Id : hal-01024454 , version 1

Citer

Willy Ugarte Rojas, Patrice Boizumault, Samir Loudni, Bruno Crémilleux, Alban Lepailleur. Mining (Soft-)Skypatterns using Constraint Programming. Int. Workshop Languages for Data Mining and Machine Learningco-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013), Sep 2013, Prague, France. pp.20-34. ⟨hal-01024454⟩
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