Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: 10.1007/978-3-030-98581-3_29
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2022
- Urheber
- DOI
-
10.18154/RWTH-2022-04937
- URN
-
urn:nbn:de:101:1-2022051803321360887454
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:50 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Pery, Andrew
- Rafiei, Majid
- Simon, Michael
- Aalst, Wil van der
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2022
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