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Discovering System Dynamics Simulation Models Using Process Mining

;

In
IEEE access 10, Seiten/Artikel-Nr.:78527-78547

ImpressumNew York, NY : IEEE

ISSN2169-3536

Online
DOI: 10.1109/ACCESS.2022.3193507
DOI: 10.18154/RWTH-2022-07926
URL: https://publications.rwth-aachen.de/record/852114/files/852114.pdf

Einrichtungen

  1. Lehrstuhl für Process and Data Science (122510)
  2. Fachgruppe Informatik (120000)

Projekte

  1. WS-B3.II - Short-term Production Management (X080067-WS-B3.II) (X080067-WS-B3.II)
  2. DFG project 390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)

Thematische Einordnung (Klassifikation)
DDC: 621.3

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85135596015
WOS Core Collection: WOS:000832935200001

Interne Identnummern
RWTH-2022-07926
Datensatz-ID: 852114

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Electronics and Telecommunications Collection ; Current Contents - Engineering, Computing and Technology ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
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122510
120000
 Record created 2022-08-15, last modified 2023-05-12
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