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

ArXi:2505.05880v2 Announce Type: replace Monitoring and analyzing process traces is a critical task for modern companies and organizations. In scenarios where there is a gap between trace events and reference business activities, this entails an interpretation problem, amounting to translating each event of any ongoing trace into the corresponding step of the activity instance.