Sequen-C explorer for process mining

Montana, L. orcid.org/0000-0002-0511-0466 and Villa-Uriol, M.C. orcid.org/0000-0002-3345-539X (2025) Sequen-C explorer for process mining. In: Ceur Workshop Proceedings. Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2025 co-located with 23rd International Conference on Business Process Management (BPM 2025), 31 Aug - 05 Sep 2025, Seville, Spain. , pp. 312-319. ISSN: 1613-0073. EISSN: UNSPECIFIED.

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Item Type: Proceedings Paper
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© 2025 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). https://creativecommons.org/licenses/by/4.0/

Keywords: process mining; temporal event sequences; event logs; visualization; visual process analytics
Dates:
  • Published (online): 19 September 2025
  • Published: 19 September 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Date Deposited: 13 Nov 2025 09:03
Last Modified: 13 Nov 2025 09:03
Published Version: https://ceur-ws.org/Vol-4032/
Status: Published
Refereed: Yes
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