Detecting Anomalies in Financial Data Using Machine Learning Algorithms
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| datacite.relatedItem.issue | 5 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2079-8954 | |
| datacite.relatedItem.relationType | IsPublishedIn | |
| datacite.relatedItem.title | Systems | |
| datacite.relatedItem.volume | 10 | |
| dc.contributor.author | Alexander Bakumenko | |
| dc.contributor.author | Ahmed Elragal | |
| dc.date.accessioned | 2025-05-22T11:06:21Z | |
| dc.date.available | 2025-05-22T11:06:21Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | https://doi.org/10.3390/systems10050130 | |
| dc.identifier.other | jz000178-0129 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/36810 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 600 | |
| dc.title | Detecting Anomalies in Financial Data Using Machine Learning Algorithms | |
| dc.type | Article | |
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