Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review.
DC Element | Wert | Sprache |
---|---|---|
dc.contributor.author | Stahmann, Philip | |
dc.contributor.author | Rieger, Bodo | |
dc.date.accessioned | 2022-04-19T14:04:52Z | - |
dc.date.available | 2022-04-19T14:04:52Z | - |
dc.date.issued | 2021 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/53083 | - |
dc.publisher | Hawaii International Conference on System Sciences | |
dc.relation.ispartof | hawaii international conference on system sciences | |
dc.rights | cc-by-nc-nd | |
dc.subject | Computer science | |
dc.subject | Identification (biology) | |
dc.subject | Machine learning | |
dc.subject | Data mining | |
dc.subject | Artificial intelligence | |
dc.subject | Anomaly detection | |
dc.title | Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review. | |
dc.type | journal article | |
dc.identifier.doi | https://doi.org/10.24251/hicss.2021.696 | |
dc.description.startpage | 5738 | |
dc.identifier.external | https://openalex.org/W3128445232 | |
dcterms.oaStatus | true | |
local.import.sourcefile | openalex_uos_20220409.ris | |
crisitem.author.dept | FB 09 - Wirtschaftswissenschaften | - |
crisitem.author.deptid | fb09 | - |
crisitem.author.parentorg | Universität Osnabrück | - |
crisitem.author.netid | RiBo787 | - |
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geprüft am 29.05.2024