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Découverte des soft-skypatterns avec une approche PPC

Translated title of the contribution: Discovery of soft-skypatterns with constraint programming approach
  • Willy Ugarte
  • , Patrice Boizumault
  • , Samir Loudni
  • , Bruno Crémilleux
  • , Alban Lepailleur
  • University of Caen Basse-Normandie
  • University of Caen

Research output: Contribution to journalConference articlepeer-review

Abstract

Within the pattern mining area, skypatterns enable to express a user-preference point of view according to the domination relation. In this paper, we deal with the introduction of softness in the skypattern mining problem. We show how softness can provide convenient patterns that would be missed otherwise. Then, thanks to Constraint Programming, we propose an efficient method to mine skypatterns as well as soft ones. Finally, we show the relevance of our approach through a case study in chemoinformatics for discovering toxicophores.

Translated title of the contributionDiscovery of soft-skypatterns with constraint programming approach
Original languageFrench
Pages (from-to)217-228
Number of pages12
JournalRevue des Nouvelles Technologies de l'Information
VolumeE.24
StatePublished - 2013
Externally publishedYes
Event13emes Journees Francophones sur l'Extraction et la Gestion des Connaissances, EGC 2013 - 13th French-Speaking Conference on Knowledge Discovery and Management, EGC 2013 - Toulouse, France
Duration: 29 Jan 20131 Feb 2013

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