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Evaluation of Study Plans Using Partial Orders

; ;

In
Process Mining Workshops : ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024, Revised Selected Papers / edited by Andrea Delgado, Tijs Slaats, Seiten/Artikel-Nr: 154-166

Konferenz/Event:6. International Conference on Process Mining , Lyngby , Denmark , ICPM 2024 , 2024-10-14 -2024-10-18

ImpressumCham : Springer Nature Switzerland

Umfang154-166

ISBN978-3-031-82224-7, 978-3-031-82225-4, 978-3-031-82226-1

ReiheLecture Notes in Business Information Processing ; 533

First Online: 28 March 2025

Online
DOI: 10.18154/RWTH-2025-03412
DOI: 10.1007/978-3-031-82225-4_12

URL: https://publications.rwth-aachen.de/record/1009223/files/1009223.pdf

Einrichtungen

  1. Lehrstuhl für Process and Data Science (Informatik 9) (122510)
  2. Fachgruppe Informatik (120000)

Projekte

  1. AvH 3.2-USA/1191945 - Responsible Event-Driven Process Improvement (REDPI) (3.2-USA/1191945) (3.2-USA/1191945)
  2. BMBF 16DHBKI016 - Verbundprojekt: KI-basierte Unterstützung zur individuellen Planung und Reflexion von Studienverläufen sowie (hochschulübergreifendes) Studienmonitoring - AIStudyBuddy; Teilvorhaben: AIStudyBuddy@RWTH (16DHBKI016) (16DHBKI016)

Thematische Einordnung (Klassifikation)
DDC: 650

OpenAccess:
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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105002006950

Interne Identnummern
RWTH-2025-03412
Datensatz-ID: 1009223

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; OpenAccess ; SCOPUS

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Faculty of Computer Science (Fac.9)
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Publications database
122510
120000

 Record created 2025-04-01, last modified 2026-03-18


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