Towards Quantifying Privacy in Process Mining

Process mining employs event logs to provide insights into the actual processes. Event are recorded by information systems and contain valuable helping organizations improve their However, these data also include highly sensitive private which is a major concern when applying process mining. Therefore, privacy preservation in growing importance, new techniques being introduced. The effectiveness of proposed needs be evaluated. It important measure both protection utility preservation. In this paper, we propose an approach quantify techniques. We introduce two measures for quantifying disclosure risks evaluate aspect. Moreover, main activities. have been tested using various real-life logs.