Document (#15326)

Author
Hausdorf, C.
Müller, M.
Stoyan, H.
Title
¬Eine Theorie der Interessantheit für die Entdeckung von Wissen in Datenbanken
Source
Herausforderungen an die Informationswirtschaft: Informationsverdichtung, Informationsbewertung und Datenvisualisierung. Proceedings des 5. Internationalen Symposiums für Informationswissenschaft (ISI'96), Humboldt-Universität zu Berlin, 17.-19. Oktober 1996. Hrsg.: J. Krause u.a
Imprint
Konstanz : Universitätsverlag
Year
1996
Pages
S.167-178
Series
Schriften zur Informationswissenschaft; Bd.27
Abstract
Wir stellen einen Ansatz vor, mit dem die Flut von Ergebnissen, die Data-Mining-Methoden produzieren, eingedämmt wird, indem diese bezüglich ihrer Interessantheit für den benutzer bewertet und sortiert werden. Der Ansatz basiert auf einer Theorie der Interessantheit für die Entdeckung von Wissen in Datenbanken (KDD), die mit einem sprachorietierten KDD-Model motiviert wird. Wir definieren ein subjektives, dynamisches und kontinuierliches Maß für die Interessantheit von Data-Mining-Ergebnissen und beschreiben die wissensbasierte Bewertung einer Vielzahl von Interessantheitsfacetten. Der Prototyp 'Knowledge Discovery Assistant' wird in einem medizinischen Anwendungsbereich evaluiert

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