Conceptual knowledge discovery with frequent concept lattices

dc.date.accessioned	2009-01-26T14:52:34Z
dc.date.available	2009-01-26T14:52:34Z
dc.date.issued	1999
dc.identifier.uri	urn:nbn:de:hebis:34-2009012626029
dc.identifier.uri	http://hdl.handle.net/123456789/2009012626029
dc.format.extent	228870 bytes
dc.format.mimetype	application/pdf
dc.language.iso	eng
dc.rights	Urheberrechtlich geschützt
dc.rights.uri	https://rightsstatements.org/page/InC/1.0/
dc.subject.ddc	004
dc.title	Conceptual knowledge discovery with frequent concept lattices	eng
dc.type	Preprint
dcterms.abstract	Knowledge discovery support environments include beside classical data analysis tools also data mining tools. For supporting both kinds of tools, a unified knowledge representation is needed. We show that concept lattices which are used as knowledge representation in Conceptual Information Systems can also be used for structuring the results of mining association rules. Vice versa, we use ideas of association rules for reducing the complexity of the visualization of Conceptual Information Systems.	eng
dcterms.accessRights	open access
dcterms.creator	Stumme, Gerd
dc.description.et	Extern	ger
dc.subject.swd	Informationssystem	ger
dc.subject.swd	Wissenserwerb	ger