Discovery of data dependencies in relational databases

dc.contributor.authorBell, Siegfriedde
dc.contributor.authorBrockhausen, Peterde
dc.date.accessioned2004-12-06T12:53:23Z
dc.date.available2004-12-06T12:53:23Z
dc.date.created1995de
dc.date.issued1999-08-11de
dc.description.abstractKnowledge discovery in databases is not only the nontrivial extraction of implicit, previously unknown and potentially useful information from databases. We argue that in contrast to machine learning, knowledge discovery in databases should be applied to real world databases. Since real world databases are known to be very large, they raise problems of the access. Therefore, real world databases only can be accessed by database management systems and the number of accesses has to be reduced to a minimum. Considering this property, we are forced to use, for example, standard set oriented interfaces of relational database management systems in order to apply methods of knowledge discovery in databases. We present a system for discovering data dependencies, which is build upon a set oriented interface. The point of main effort has been put on the discovery of value restrictions, unary inclusion- and functional dependencies in relational databases. The system also embodies an inference relation to minimize database access.en
dc.format.extent286701 bytes
dc.format.extent736304 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.identifier.issn0943-4135de
dc.identifier.urihttp://hdl.handle.net/2003/2573
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-8395
dc.language.isoende
dc.publisherUniversität Dortmundde
dc.relation.ispartofseriesForschungsberichte des Lehrstuhls VIII, Fachbereich Informatik der Universität Dortmund ; 14de
dc.subject.ddc004de
dc.titleDiscovery of data dependencies in relational databasesen
dc.typeTextde
dc.type.publicationtypereport
dcterms.accessRightsopen access

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