SPBP'21 Invited talk

Privacy in Process Mining: Motivation, Method and Research Challenges

by Prof. Agnes Koschmider

ABSTRACT: The consideration of privacy within process mining is essential. The increasing volume of data, however, also makes privacy protection more difficult and calls for the responsible use of event logs. A study on publicly available event logs reveals that there is a serious privacy leakage in the vast majority of the event logs used widely in the community. This talk will summarize the re-identification risk of event logs for process mining; it will describe privacy requirements for process mining techniques and present an approach for privacy-preserving process mining.

Agnes Koschmider is a professor of information systems at Kiel University and head of the Process Analytics group. Before, she was Associate Professor at the Poznań University of Economics and Business, interim professor at the University of Cologne and Postdoctoral Researcher at the Institute of Applied Informatics and Formal Description Methods at KIT. She received her doctoral degree and venia legendi in Applied Informatics, both from KIT. Her research interest broadly explores how to extract meaningful event logs from sensor event data with a special focus on privacy preservation.