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Trained models for extracting semantic process information from event data.

The repository contains the implementation employed in the paper "Natural Language-based Detection of Semantic Execution Anomalies in Event Logs" by Han van der Aa, Adrian Rebmann, and Henrik Leopold, published in Information Systems (2021)

Multi-Order Concept Drift Detection in Business Processes

This project provides a prototype of the approach that assesses runtime process flexibility using vector autoregressive modeling