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Developing a High-Performance Process Mining Library with Java and Python Bindings in Rust

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Umfang22 Seiten

Online
DOI: 10.48550/arXiv.2401.14149

DOI: 10.18154/RWTH-2025-00398
URL: https://publications.rwth-aachen.de/record/1002195/files/1002195.pdf

Einrichtungen

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


Inhaltliche Beschreibung (Schlagwörter)
FOS: Computer and information sciences (Genormte SW) ; Software Engineering (cs.SE) (Genormte SW) ; FFI (frei) ; Java (frei) ; Process Mining (frei) ; Python (frei) ; Rust (frei) ; XES (frei)

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External link:
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Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:2401.14149

Interne Identnummern
RWTH-2025-00398
Datensatz-ID: 1002195

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; OpenAccess
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 Record created 2025-01-14, last modified 2025-10-06
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