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This project provides a prototype of the approach that assesses runtime process flexibility using vector autoregressive modeling
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Code for fine-tuning BERT for labeling textual values in events with process-related semantic roles
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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)
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Multi-Order Concept Drift Detection in Business Processes
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Process Analytics Group / CDLG package
GNU General Public License v3.0 onlyUpdated -
Process Analytics Group / ML-based Semantic Anomaly Detection
Apache License 2.0Updated -
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