- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
RWTH Aachen University, Dissertation, 2024
- Schlagwort
-
Prozessmanagement
Data Mining
Wissensextraktion
Prozessmodell
Inkrementelles Umformen
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2024
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2024-06483
- URN
-
urn:nbn:de:101:1-2407280135318.948530980072
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:53 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
- Schuster, Daniel
- Aalst, Wil van der
- Dongen, Joost T. van
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2024
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