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dc.date.accessioned2009-01-19T14:35:08Z
dc.date.available2009-01-19T14:35:08Z
dc.date.issued1996
dc.identifier.uriurn:nbn:de:hebis:34-2009011925775
dc.identifier.urihttp://hdl.handle.net/123456789/2009011925775
dc.format.extent218443 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subjectformal concept analysiseng
dc.subject.ddc004
dc.titleAttribute exploration with background implications and exceptionseng
dc.typeAufsatz
dcterms.abstractImplications between attributes can represent knowledge about objects in a specified context. This knowledge representation is especially useful when it is not possible to list all specified objects. Attribute exploration is a tool of formal concept analysis that supports the acquisition of this knowledge. For a specified context this interactive procedure determines a miminal list of valid implications between attributes of this context together with a list of objects which are counterexamples for all implications not valid in the context. This paper describes how the exploration can be modified such that it determines a mimimal set of implications that fills the gap between previously given implications (called background implications) and all valid implications. The list of implications can be simplified further if exceptions are allowed for the implications.eng
dcterms.accessRightsopen access
dcterms.creatorStumme, Gerd
dc.description.etExternger
dc.description.everythingAuch erschienen in: Bock, Hans-Hermann u.a. (Hrsg.): Data analysis and information systems. (Proceedings of the ... annual conference of the Gesellschaft für Klassifikation e.V. ; 19). Berlin u.a. : Springer, 1996. S. 457-469. ISBN 3-540-60774-9ger
dc.subject.swdFormale Begriffsanalyseger


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