An experimental evaluation of process concept drift detection

JN Adams, C Pitsch, T Brockhoff… - Proceedings of the …, 2023 - dl.acm.org
Process mining provides techniques to learn models from event data. These models can be
descriptive (eg, Petri nets) or predictive (eg, neural networks). The learned models offer …

Challenges in AI-supported process analysis in the Italian judicial system: what after digitalization?

D Bianchini, C Bono, A Campi, C Cappiello… - … : Research and Practice, 2024 - dl.acm.org
In this commentary article, we outline research challenges and possible directions for the
potential applications of AI in the judicial domain by specifically considering process …

Using machine learning to classify process model elements for process infrastructure analysis

DT Avila, VC de Moura, LH Thom - … of the XIX Brazilian Symposium on …, 2023 - dl.acm.org
Context: Business Process Management is an increasingly important discipline adopted by
organizations to model, analyze, and implement their business processes. The complexity of …