| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Schultz, Martin | - |
| dc.contributor.author | Tropmann-Frick, Marina | - |
| dc.date.accessioned | 2020-09-02T15:37:19Z | - |
| dc.date.available | 2020-09-02T15:37:19Z | - |
| dc.date.issued | 2020-01 | - |
| dc.identifier.isbn | 978-0-9981331-3-3 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12738/4320 | - |
| dc.title | Autoencoder Neural Networks versus External Auditors: Detecting Unusual Journal Entries in Financial Statement Audits. | |
| dc.type | inProceedings | en_US |
| tuhh.oai.show | true | en_US |
| tuhh.publication.institute | Department Informatik | en_US |
| tuhh.publication.institute | Fakultät Design, Medien und Information | en_US |
| tuhh.publisher.doi | 10.24251/HICSS.2020.666 | - |
| tuhh.type.opus | InProceedings (Aufsatz / Paper einer Konferenz etc.) | - |
| dc.type.casrai | Conference Paper | - |
| dc.type.dini | contributionToPeriodical | - |
| dc.type.driver | contributionToPeriodical | - |
| dcterms.DCMIType | Text | - |
| item.fulltext | No Fulltext | - |
| item.creatorGND | Schultz, Martin | - |
| item.creatorGND | Tropmann-Frick, Marina | - |
| item.openairetype | inProceedings | - |
| item.grantfulltext | none | - |
| item.creatorOrcid | Schultz, Martin | - |
| item.creatorOrcid | Tropmann-Frick, Marina | - |
| item.cerifentitytype | Publications | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
| crisitem.author.dept | Department Informatik | - |
| crisitem.author.dept | Department Informatik | - |
| crisitem.author.orcid | 0009-0009-7920-3823 | - |
| crisitem.author.orcid | 0000-0003-1623-5309 | - |
| crisitem.author.parentorg | Fakultät Technik und Informatik | - |
| crisitem.author.parentorg | Fakultät Technik und Informatik | - |
| Appears in Collections: | Publications without full text | |
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