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AuthorGraef, Rolanddc.contributor.author
Date of accession2022-01-20T12:31:14Zdc.date.accessioned
Available in OPARU since2022-01-20T12:31:14Zdc.date.available
Date of first publication2021dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
Dewey Decimal GroupDDC 330 / Economicsdc.subject.ddc
LCSHArtificial intelligencedc.subject.lcsh
LCSHBig datadc.subject.lcsh
LCSHInformation storage and retrievaldc.subject.lcsh
LCSHMachine learningdc.subject.lcsh
TitleArtificial intelligence approaches for supporting organizations coping with the challenges of unstructured data: contributions to research related to text data, voice & image data and text in image datadc.title
Resource typeDissertationdc.type
Date of acceptance2021-11-22dcterms.dateAccepted
RefereeKlier, Mathiasdc.contributor.referee
RefereeZimmermann, Steffendc.contributor.referee
PPN178659479Xdc.identifier.ppn
GNDKünstliche Intelligenzdc.subject.gnd
GNDData Miningdc.subject.gnd
GNDFallbasiertes Schließendc.subject.gnd
GNDMaschinelles Lernendc.subject.gnd
FacultyFakultät für Mathematik und Wirtschaftswissenschaftenuulm.affiliationGeneral
InstitutionInstitut für Business Analyticsuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
Bibliographyuulmuulm.bibliographie


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