Process mining reveals how processes in organisations are actually performed and pinpoints deviations from the desired process execution. Process delay is one type of deviation that can be detected. Specific activities may take longer than expected or the waiting times between activities may deviate...

The privacy of an organization's workers represents a crucial concern in process mining settings, where data on an individual's performance is recorded and possibly shared for analysis. To enable users to appropriately deal with privacy concerns in process mining, this paper introduces ELPaaS (Event...

In smart manufacturing environments sensors are collecting data about work processes. This data likely also contains references to actions of a single worker, which can be considered personal data. Privacy dashboards convey information on what personal data is stored by a system and provide means fo...

Privacy regulations for data can be regarded as a major driver for data sovereignty measures. A specific example for this is the case of event data that is recorded by information systems during the processing of entities in domains such as e-commerce or health care. Since such data, typically avail...

Process mining uses event data recorded by information systems to reveal the actual execution of business processes in organizations. By doing this, event logs can expose sensitive information that may be attributed back to individuals (e.g., reveal information on the performance of individual emplo...

Operators in industrial manufacturing environments are under pressure to cope with the ever increasing flexibility and complexity of work. Transitioning towards data-driven smart manufacturing environments in the context of Industry 4.0 with wearable technologies and sensors brings the opportunity t...

Event log files are used as input to any process mining algorithm. A main assumption of process mining is that each event has been assigned to a distinct process activity already. However, such mapping of events to activities is a considerable challenge. The current status-quo is that approaches ind...