The field of process mining focuses on distilling knowledge of the (historical) execution of a
process based on the operational event data generated and stored during its execution …

A firm concept of time is essential for establishing causality in a clinical setting. Review of
critical incidents and generation of study hypotheses require a robust understanding of the …

Conformance checking is a key process mining task to confront the normative behavior
imposed by a process model with the actual behavior recorded in a log. While this problem …

Conformance checking, one of the central tasks in process mining, compares the expected
behavior described by a reference process model to the actual behavior recorded in an …

The focus of this paper is on how data quality can affect business process discovery in real
complex environments, which is a major factor determining the success in any data-driven …

Developments in machine learning together with the increasing usage of sensor data
challenge the reliance on deterministic logs, requiring new process mining solutions for …

Logs of real-life processes often feature uncertainty pertaining the recorded timestamps,
data values, and/or events. We consider the problem of checking conformance of uncertain …

With the growing number of devices, sensors and digital systems, data logs may become
uncertain due to, eg, sensor reading inaccuracies or incorrect interpretation of readings by …

Real-life event logs, reflecting the actual executions of complex business processes, are
faced with numerous data quality issues. Extensive data sanity checks and pre-processing …

Conformance checking techniques are widely used to monitor the execution of organization
processes and to pinpoint possible violations of the prescribed behavior. State-of-the-art …