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.
Abstract
We present Sequen-C for Process Mining, a visual analytics tool based on Sequen-C, that allows multilevel and detail-on-demand exploration of traces, and the inspection of attributes at process model, variant, trace or activity level. Users can interactively explore the data, adjusting the granularity at which process models are displayed (multilevel overviews). To obtain the process models, the tool comes with a hierarchical agglomerative clustering technique by default; however, users can provide their own clusterings. Process models are presented using a timeline-based visualization that can be interactively modified by users using a combination of alignment by activities and simplification strategies.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 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: |
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| 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 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234435 |
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Filename: BPM_2025___Demo___Sevilla__Camera_Ready_.pdf
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