Summary of Inexa: Interactive and Explainable Process Model Abstraction Through Object-centric Process Mining, by Janik-vasily Benzin and Gyunam Park and Juergen Mangler and Stefanie Rinderle-ma
INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Process Mining
by Janik-Vasily Benzin, Gyunam Park, Juergen Mangler, Stefanie Rinderle-Ma
First submitted to arxiv on: 27 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed paper introduces INEXA, an interactive and explainable process model abstraction method that enables analysts to explore discovered process models at different granularity levels while maintaining a link to the underlying event log. The method is designed to address the issue of high-dimensional process models resulting from fine-grained event logs, which can be difficult to analyze and visualize. INEXA aggregates large process models to a “displayable” size, allowing analysts to interactively explore different granularity levels and trace applied abstractions in the event log for explainability. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Process events are recorded by multiple information systems at different granularity levels, resulting in high-dimensional process models that can be difficult to analyze. The proposed method, INEXA, helps reduce the size of these models while keeping them connected to the underlying event log. This makes it easier for analysts to explore and understand complex processes. |
