Unsupervised temporal anomaly detection : Time series, data stream, and interpretability
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Dortmund, Technische Universität, Dissertation, 2024
- Schlagwort
-
Anomalieerkennung
Maschinelles Lernen
Internet
Datenanalyse
Nachrichtenverkehr
Fehlalarm
Zeitreihenanalyse
Datenstrom
Anomalieerkennung
Interpretierer
- Ereignis
-
Veröffentlichung
- (wo)
-
Dortmund
- (wer)
-
Universitätsbibliothek Dortmund
- (wann)
-
2024
- Urheber
- Beteiligte Personen und Organisationen
-
Müller, Emmanuel
Gama, João
- Handle
-
2003/42629
- URN
-
urn:nbn:de:101:1-2408090342463.464154210964
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Li, Bin
- Müller, Emmanuel
- Gama, João
- Universitätsbibliothek Dortmund
Entstanden
- 2024
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