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CDLG: Concept Drift Log Generator tool

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)

This includes supplementary files of the DDPS methodology by Oberle & van der Aa (2023)

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

Multi-Order Concept Drift Detection in Business Processes