172 citations · 253 across the 8 of their papers we have counts for
8 papers
The CEKG: A Tool for Constructing Event Graphs in the Care Pathways of Multi-Morbid Patients
Milad Naeimaei Aali, Felix Mannhardt, Pieter Jelle Toussaint
One of the challenges in healthcare processes, especially those related to multi-morbid patients who suffer from multiple disorders simultaneously, is not connecting the disorders…
Control-flow Reconstruction Attacks on Business Process Models
Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Felix Mannhardt +1
Process models may be automatically generated from event logs that contain as-is data of a business process. While such models generalize over the control-flow of specific, recorde…
What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning
István Ketykó, Felix Mannhardt, Marwan Hassani +1
Deep Learning is proven to be an effective tool for modeling sequential data as shown by the success in Natural Language, Computer Vision and Signal Processing. Process Mining conc…
Discovering care pathways for multi-morbid patients using event graphs
Milad Naeimaei Aali, Felix Mannhardt, Pieter Jelle Toussaint
Patients suffering from multiple diseases (multi-morbid patients) often have complex clinical pathways. They are diagnosed and treated by different specialties and undergo other cl…
Privacy and Confidentiality in Process Mining -- Threats and Research Challenges
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Mohammadreza Fani Sani +5
Privacy and confidentiality are very important prerequisites for applying process mining in order to comply with regulations and keep company secrets. This paper provides a foundat…
Quantifying the Re-identification Risk of Event Logs for Process Mining
S. Nuñez von Voigt, S. A. Fahrenkrog-Petersen, D. Janssen +5
Event logs recorded during the execution of business processes constitute a valuable source of information. Applying process mining techniques to them, event logs may reveal the ac…