DIVE

Data Insight & Visual Exploration

Generating data insights through visual analytics · The University of Sheffield

Sequen-C overview of event sequences grouped by weekday

Projects

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Temporal event sequences

Sequen-C Explorer screenshot
IEEE TVCG 2022

Sequen-C Explorer

Interactive multilevel overviews of temporal event sequences.

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EventBox screenshot
IEEE VIS 2025

EventBox

A visual encoding for groups of events and their multivariate attributes, built into Sequen-C.

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Sequen-C for Process Mining screenshot
BPM 2025 demo

Sequen-C for Process Mining

Multilevel, detail-on-demand exploration of traces and process models.

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TRACED with timeline and graph panels
Live tool

TRACED

Explore event sequences with a linked timeline, process graph and Declare constraint analysis.

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Study of multimorbidity patterns

Solutions Explorer screenshot
Coming soon

Solutions Explorer

More information will be available soon.

Two-stage clustering screenshot
Coming soon

Two-stage clustering

More information will be available soon.

Recent publications

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  1. 2025
    EventBox: A Novel Visual Encoding for Interactive Analysis of Temporal and Multivariate Attributes in Event Sequences L. Montana, J. Magallanes, M. Juarez, S. Mason, A. J. Narracott, L. van Gemeren, S. Wood, M.-C. Villa-Uriol. IEEE Transactions on Visualization and Computer Graphics (IEEE VIS 2025). arXiv
  2. 2025
    Sequen-C for Process Mining BPM 2025 Demo Track.
  3. 2022
    Sequen-C: A Multilevel Overview of Temporal Event Sequences J. Magallanes, T. Stone, P. D. Morris, S. Mason, S. Wood, M.-C. Villa-Uriol. IEEE Transactions on Visualization and Computer Graphics 28(1), 901–911. arXivIEEE Xplore
Dr Maria-Cruz Villa-UriolSenior Lecturer in Computer Science
Dr Luis Rene Montana GonzalezPostdoctoral researcher
Benediktas ValysPhD student
Areeb SherwaniResearch assistant

Past members: Dr Jessica Magallanes-Castaneda (PhD, 2020)