3 citations · 6 across the 2 of their papers we have counts for
3 papers
Differentially Private Inductive Miner
Max Schulze, Yorck Zisgen, Moritz Kirschte +2
Protecting personal data about individuals, such as event traces in process mining, is an inherently difficult task since an event trace leaks information about the path in a proce…
Recent Advances in Data-Driven Business Process Management
Lars Ackermann, Martin Käppel, Laura Marcus +21
The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm sh…
Process Mining for Unstructured Data: Challenges and Research Directions
Agnes Koschmider, Milda Aleknonytė-Resch, Frederik Fonger +8
The application of process mining for unstructured data might significantly elevate novel insights into disciplines where unstructured data is a common data format. To efficiently…