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Tuning machine learning to address process mining requirements

; ; ;

In
IEEE access 12, Seiten/Artikel-Nr.:24583-24595

ImpressumNew York, NY : IEEE

ISSN2169-3536

Online
DOI: 10.1109/ACCESS.2024.3361650

DOI: 10.18154/RWTH-2024-03007
URL: https://publications.rwth-aachen.de/record/981410/files/981410.pdf

Einrichtungen

  1. Profilbereich Information & Communication Technology (ICT) (080017)
  2. Lehrstuhl für Process and Data Science (Informatik 9) (122510)
  3. Fachgruppe Informatik (120000)


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-s2.0-85184340489
WOS Core Collection: WOS:001163945800001

Interne Identnummern
RWTH-2024-03007
Datensatz-ID: 981410

Beteiligte Länder
Germany, Italy, U Arab Emirates

 GO

Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess
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The record appears in these collections:
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Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
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122510
120000
080017
 Record created 2024-03-11, last modified 2024-03-19
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