Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMorik, Katharina-
dc.contributor.authorScholz, Martin-
dc.date.accessioned2007-10-31T13:57:43Z-
dc.date.available2007-10-31T13:57:43Z-
dc.date.issued2007-10-31T13:57:43Z-
dc.identifier.urihttp://hdl.handle.net/2003/24813-
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-872-
dc.language.isoende
dc.subjectKnowledge discovery in databasesen
dc.subjectScalabilityen
dc.subjectSamplingen
dc.subjectMachine learningen
dc.subjectSubgroup discoveryen
dc.subjectEnsemble methodsen
dc.subjectEvaluation metricsen
dc.subjectPreprocessingen
dc.subject.ddc004-
dc.titleScalable and accurate knowledge discovery in real world databasesen
dc.typeTextde
dc.contributor.refereeKern-Isberner, Gabriele-
dc.date.accepted2007-04-25-
dc.type.publicationtypedoctoralThesisde
dc.identifier.urnurn:nbn:de:hbz:290-2003/24813-6-
dcterms.accessRightsopen access-
Appears in Collections:LS 08 Künstliche Intelligenz

Files in This Item:
File Description SizeFormat 
dissertation_martin_scholz.pdfDNB3.45 MBAdobe PDFView/Open


This item is protected by original copyright



This item is protected by original copyright rightsstatements.org