1 code implementation • 13 Oct 2023 • Suhwan Lee, Marco Comuzzi, Xixi Lu, Hajo A. Reijers
This paper proposes an evaluation framework for assessing the stability of models for online predictive process monitoring.
1 code implementation • 17 Mar 2022 • Suhwan Lee, Xixi Lu, Hajo A. Reijers
We compare these predictive anomaly detection methods to four classical unsupervised anomaly detection approaches (such as Isolation forest and LOF) in the online setting.
no code implementations • 15 Feb 2022 • Williams Rizzi, Marco Comuzzi, Chiara Di Francescomarino, Chiara Ghidini, Suhwan Lee, Fabrizio Maria Maggi, Alexander Nolte
The results of the user evaluation show that, although explanation plots are overall understandable and useful for decision making tasks for Business Process Management users -- with and without experience in Machine Learning -- differences exist in the comprehension and usage of different plots, as well as in the way users with different Machine Learning expertise understand and use them.