guest ::
KAVA-PM: Knowledge-assisted visual process mining
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In
Process mining meets visual analytics / Guest Editors: Dr. Claudio Di Ciccio, Assoc. Professor Pnina Soffer, Prof. Dr. Barbara Weber, Prof. Dr. Silvia Miksch
In
Information systems : IS 137, Seiten/Artikel-Nr.:102638
2026 & 2025
Available online 1 November 2025
Online
DOI: 10.1016/j.is.2025.102638
DOI: 10.18154/RWTH-2025-10216
URL: https://publications.rwth-aachen.de/record/1022724/files/1022724.pdf
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 070
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a book
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105021086070
WOS Core Collection: WOS:001616221500001
Interne Identnummern
RWTH-2025-10216
Datensatz-ID: 1022724
Beteiligte Länder
Austria, Germany, Italy, Netherlands
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; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
PDF