An Experiment on Knowledge Discovery in Chemical Databases

Sandra Berasaluce Claude Laurenço Amedeo Napoli 1 Gilles Niel
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we present an experiment on knowledge discovery in chemical reaction databases. Chemical reactions are the main elements on which relies synthesis in organic chemistry, and this is why chemical reactions databases are of first importance. From a problem-solving process point of view, synthesis in organic chemistry must be considered at several levels of abstraction: mainly a strategic level where general synthesis methods are involved, and a tactic level where actual chemical reactions are applied. The research work presented in this paper is aimed at discovering general synthesis methods from chemical reaction databases in order to design generic and reusable synthesis plans. The knowledge discovery process relies on frequent levelwise itemset search and association rule extraction, but also on chemical knowledge involved within every step of the knowledge discovery process. Moreover, the overall process is supervised by an expert of the domain. The principles of this original experiment on mining chemical reaction databases and its results are detailed and discussed.
Mots-clés : knowledge discovery exploitation des données data mining
Type de document :
Communication dans un congrès
J.-F Boulicaut and F. Esposito and F. Giannotti and D. Pedreschi. 8th European Conference on Principles and Practice of Knowledge Discovery in Databases - PKDD 2004, Sep 2004, Pisa, Italia, Springer Verlag, 3202, pp.39--51, 2004, Lecture Notes in Artificial Intelligence
Liste complète des métadonnées
https://hal.inria.fr/inria-00100272
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:16:44
Dernière modification le : jeudi 11 janvier 2018 - 06:19:52

Identifiants

  • HAL Id : inria-00100272, version 1

Collections

INRIA | LORIA | UNIV-LORRAINE

Citation

Sandra Berasaluce, Claude Laurenço, Amedeo Napoli, Gilles Niel. An Experiment on Knowledge Discovery in Chemical Databases. J.-F Boulicaut and F. Esposito and F. Giannotti and D. Pedreschi. 8th European Conference on Principles and Practice of Knowledge Discovery in Databases - PKDD 2004, Sep 2004, Pisa, Italia, Springer Verlag, 3202, pp.39--51, 2004, Lecture Notes in Artificial Intelligence. 〈inria-00100272〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

149

Contact


archive-ouverte@inria.fr