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Extending Process Intelligence with Quantity-Related Process Mining

; ; ;

In
Process Mining Workshops : ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024, Revised Selected Papers, Seiten/Artikel-Nr: 337-349

Konferenz/Event:Process Mining Workshops 2024 , Copenhagen , Denmark , ICPM 2024

ImpressumCham : Springer Nature ; Springer Nature Switzerland [Imprint]

Umfang337-349

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

ReiheLecture Notes in Business Information Processing ; 533

Online
DOI: 10.1007/978-3-031-82225-4_25

URL: https://publications.rwth-aachen.de/record/1019292/files/1019292.pdf

Einrichtungen

  1. Lehrstuhl für Process and Data Science (Informatik 9) (122510)
  2. Internet of Production (080067)
  3. Fachgruppe Informatik (120000)

Projekte

  1. WS-A.III - Functional Perspective (X080067-WS-A.III) (X080067-WS-A.III)
  2. DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)

Inhaltliche Beschreibung (Schlagwörter)
process mining, logistics, object-centric process mining (frei)

Thematische Einordnung (Klassifikation)
DDC: 650

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Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105002053166

Interne Identnummern
RWTH-2025-08311
Datensatz-ID: 1019292

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The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Computer Science (Fac.9)
Central and Other Institutions
Documents in print
Public records
122510
120000
080067
 Record created 2025-10-06, last modified 2025-11-16
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