Sequen-C explorer for process mining

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.

Publication Details

Journal
White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Published
2025-09-19
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Sequen-C explorer for process mining

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Business Process Modeling and Analysis
article

Sequen-C explorer for process mining

article en

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.

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
Openalex Percentile: Top 28%
Business Process Modeling and Analysis
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Sequen-C explorer for process mining · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (2025) | TGRS Research Map | TGRS