Building Viewpoints in an Object-Based Representation System for Knowledge Discovery in Databases

Arnaud Simon 1 Amedeo Napoli 1
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we present an approach to knowledge discovery in databases in the context of object-based representation systems. The goal of this approach is to extract viewpoints and association rules from data represented by objects. A viewpoint is a hierarchy of classes (a kind of partial lattice) and an association rule can be defined within a viewpoint or between two classes lying in different viewpoints. The viewpoints construction algorithm allows to manipulate objects which are indifferently classes or instances of classes. Moreover, multivalued attributes as well as relations can be taken into account in the current approach.
Mots-clés : treillis de galois association rules galois lattice object-based representation system représentation par objets règles d'association
Type de document :
Communication dans un congrès
S. Rubin. International Conference on Information Reuse & Integration - IRI'99, 1999, Atlanta, USA, The International Society for Computers and Their Applications, ISCA, pp.104--108, 1999
Liste complète des métadonnées
https://hal.inria.fr/inria-00107816
Contributeur : Publications Loria <>
Soumis le : jeudi 19 octobre 2006 - 09:10:40
Dernière modification le : jeudi 11 janvier 2018 - 06:19:53
Document(s) archivé(s) le : mercredi 29 mars 2017 - 13:17:04

Fichier

99-R-304.pdf

Identifiants

  • HAL Id : inria-00107816, version 1

Collections

INRIA | LORIA | UNIV-LORRAINE

Citation

Arnaud Simon, Amedeo Napoli. Building Viewpoints in an Object-Based Representation System for Knowledge Discovery in Databases. S. Rubin. International Conference on Information Reuse & Integration - IRI'99, 1999, Atlanta, USA, The International Society for Computers and Their Applications, ISCA, pp.104--108, 1999. 〈inria-00107816〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

141

Téléchargements de fichiers

63

Contact


archive-ouverte@inria.fr