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Visual Analytics Meets Process Mining: Challenges and Opportunities
IEEE Computer Graphics and Applications
|March 3, 2025
Summary
Visual analytics (VA) and process mining (PM) combine human insight with computer power for knowledge discovery. Integrating these methods enhances understanding of complex event data and process improvement.
Area of Science:
- Integrates computer science, information science, and cognitive science.
- Focuses on the synergy between human cognition and computational power for data analysis.
Background:
- Visual analytics (VA) leverages human visual exploration with computer processing for knowledge discovery.
- Process mining (PM) extracts process insights from event logs for discovery, monitoring, and improvement.
- The combined potential of VA and PM remains largely underexplored.
Purpose of the Study:
- To illustrate the concepts of Visual Analytics and Process Mining.
- To explore the synergistic benefits of combining VA and PM for complex event data analysis.
- To identify challenges and opportunities in applying VA to process data and enhancing VA with PM.
Main Methods:
- Conceptual illustration of Visual Analytics (VA) principles and interactive interfaces.
- Explanation of Process Mining (PM) algorithms for event log analysis.
- Discussion on the integration strategies for VA and PM techniques.
Main Results:
- The combination of VA and PM can enhance the comprehensibility of complex information structures.
- Integrating VA with PM facilitates deeper insights into process data.
- This integration offers new avenues for process discovery, monitoring, and improvement.
Conclusions:
- Combining Visual Analytics and Process Mining offers significant potential for advanced data analysis.
- Further research is needed to fully explore the challenges and opportunities in this interdisciplinary area.
- This integration can lead to more effective knowledge discovery and process optimization.
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