http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Process Mining for Python (PM4Py) : Bridging the Gap Between Process- and Data Science

Berti, Alessandro (Corresponding author)^RWTH* ; van Zelst, Sebastiaan Johannes (Corresponding author)^RWTH* ; van der Aalst, Wil M. P. (Corresponding author)^RWTH*

In
ICPMD 2019, ICPM Demo Track 2019 : proceedings of the ICPM Demo Track 2019, co-located with 1st International Conference on Process Mining (ICPM 2019) : Aachen, Germany, June 24-26, 2019 / edited by Andrea Burattin (Technical University of Denmark, Kgs. Lyngby, Denmark), Artem Polyvyanyy (The University of Melbourne, Melbourne, Australia), Sebastiaan van Zelst (Fraunhofer Institute for Applied Information Technology (FIT), Sankt Augustin, Germany), Seiten/Artikel-Nr: 13-16

2019

Konferenz/Event:1. International Conference on Process Mining , Aachen , Germany , ICPM 2019 , 2019-06-24 - 2019-06-24

ImpressumAachen, Germany : RWTH Aachen

Umfang13-16

ReiheCEUR workshop proceedings ; 2374

Online
URL: https://publications.rwth-aachen.de/record/774274/files/774274.pdf
URL: http://ceur-ws.org/Vol-2374/paper4.pdf

Einrichtungen

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

Restricted:
PDF
External link:
Fulltext

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85067204219

Interne Identnummern
RWTH-2019-11443
Datensatz-ID: 774274

Beteiligte Länder
Germany