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Project: Multi-Focus Process Maps

Description

Process maps are among the most commonly used visualizations in process mining for representing process behavior extracted from event logs. However, real-world process maps often become highly complex and cluttered due to the large number of activities and transitions involved. To make these visualizations interpretable, existing tools typically rely on global filtering techniques, where users apply thresholds to remove infrequent activities or transitions using sliders.

Although these filtering approaches simplify the visualization, they also remove potentially relevant contextual information. More importantly, current process map visualizations generally apply filtering uniformly across the entire process model. This makes it difficult to inspect one part of the process in detail while simultaneously maintaining an overview of the surrounding context.

Focus+context visualization techniques and multi-scale interaction methods provide a promising direction for overcoming these limitations. By supporting multiple simultaneous levels of detail, analysts may be able to explore complex process behavior more effectively without losing global structure.

Focus of the Project

This project explores new visualization and interaction techniques for multi-focus process maps. The goal is to design a process visualization where different regions of the process map can be shown at different levels of abstraction simultaneously. Instead of globally filtering the entire process map, analysts should be able to selectively “zoom in” on specific sub-processes while maintaining an overview of the rest of the process.

The project focuses on the design and implementation of a prototype visualization system that supports localized filtering and multi-scale exploration. Potential research topics include:

  • Multi-focus or focus+context visualization techniques for process maps.
  • Smooth transitions between abstraction levels.
  • Interaction techniques for navigating between overview and detail.
  • Evaluation of how multi-focus exploration affects process understanding and analytical performance.

The project may involve concepts from hyperbolic visualization, semantic zooming, or distortion-based interaction techniques to support simultaneous overview and detail representations.


The project is expected to last 6 months, and at the end, the student should deliver a report describing the work performed, the methodology used, and corresponding findings. It is expected that the results can be used in a scientific journal publication.

 

Requirements:

  • Good programming skills
  • Visualization knowledge on design-centered approach (e.g., Munzner)
  • Ability to use and apply PM models
Details
Supervisor
Stef van den Elzen
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