dc.contributor.author
Hinrichs, Holger
dc.date.accessioned
2018-06-08T07:39:22Z
dc.date.available
2009-10-30T09:50:19.137Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/18433
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-22134
dc.description.abstract
The primary objective of this work is to develop a concept for a holistic data
quality management which is based on formal data quality metrics and a
well–defined process model. The extensive use of metadata provides a flexible
adaptation to various application domains and a maximum degree of automation.
de
dc.format.extent
[12] S.
dc.relation.ispartofseries
urn:nbn:de:kobv:188-fudocsseries000000000059-2
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik
dc.type
Konferenzveröffentlichung
dc.title.subtitle
intelligent data qality management
refubium.affiliation
Mathematik und Informatik
de
refubium.affiliation.other
Institut für Informatik
refubium.mycore.fudocsId
FUDOCS_document_000000004122
refubium.resourceType.isindependentpub
no
refubium.series.issueNumber
2000,23
refubium.series.name
Proceedings of the 7th Doctoral Consortium at the CAiSE*00, Stockholm, Sweden,
June 5th - 6th 2000
refubium.mycore.derivateId
FUDOCS_derivate_000000000781
dcterms.accessRights.openaire
open access
