Building Viewpoints in an Object-Based Representation System for Knowledge Discovery in Databases
Identifieur interne : 001324 ( Hal/Curation ); précédent : 001323; suivant : 001325Building Viewpoints in an Object-Based Representation System for Knowledge Discovery in Databases
Auteurs : Arnaud Simon [France] ; Amedeo Napoli [France]Source :
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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.
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<front><div type="abstract" xml:lang="en">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.</div>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Building Viewpoints in an Object-Based Representation System for Knowledge Discovery in Databases</title>
<author role="aut"><persName><forename type="first">Arnaud</forename>
<surname>Simon</surname>
</persName>
<email>a-simon@loria.fr</email>
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<author role="aut"><persName><forename type="first">Amedeo</forename>
<surname>Napoli</surname>
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<meeting><title>International Conference on Information Reuse & Integration - IRI'99</title>
<date type="start">1999</date>
<settlement>Atlanta, USA</settlement>
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<name>The International Society for Computers & Their Applications, ISCA</name>
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<editor>S. Rubin</editor>
<imprint><publisher>The International Society for Computers and Their Applications, ISCA</publisher>
<biblScope unit="pp">104--108</biblScope>
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<textClass><keywords scheme="author"><term xml:lang="fr">treillis de galois</term>
<term xml:lang="fr">association rules</term>
<term xml:lang="fr">galois lattice</term>
<term xml:lang="fr">object-based representation system</term>
<term xml:lang="fr">représentation par objets</term>
<term xml:lang="fr">règles d'association</term>
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<abstract xml:lang="en">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.</abstract>
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