Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1572-8145
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining ; day:11 ; month:5 ; year:2022 ; pages:1-27
Journal of intelligent manufacturing ; (11.5.2022), 1-27
- Urheber
-
Nadim, Karim
Ragab, Ahmed
Ouali, Mohamed-Salah
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10845-021-01903-y
- URN
-
urn:nbn:de:101:1-2022071709461769426726
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Nadim, Karim
- Ragab, Ahmed
- Ouali, Mohamed-Salah
- SpringerLink (Online service)
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