<ul><li>Monitoring and analyzing process traces is important for modern companies and organizations.</li><li>Abstract Argumentation Framework (AAF) is used to interpret trace events into corresponding activities.</li><li>Proposed approach combines machine learning with reason-based analysis for efficient event interpretation.</li><li>The approach aims to offer explanations for conflicting event interpretations, leveraging prior knowledge to reduce computational costs.</li></ul>

Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams

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