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 …

PM4Py is a Python library providing a comprehensive array of tools for process mining. This
paper presents an in-depth overview of the PM4Py library, including its integration with other …

This thesis is about process mining: the analysis an organization's processes by using
process execution data. During the handling of a case or process instance data about the …

Process Discovery is concerned with the automatic generation of a process model that
describes a business process from execution data of that business process. Real life event …

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 …

Modern organizations execute processes to deliver product and services, whose enactment
needs to adhere to laws, regulations and standards. Conformance checking is the problem …

This article presents a method for checking the conformance between an event log capturing
the actual execution of a business process, and a model capturing its expected or normative …

Decision mining enriches process models with rules underlying decisions in processes
using historical process execution data. Choices between multiple activities are specified …

Event logs that originate from information systems enable comprehensive analysis of
business processes, eg, by process model discovery. However, logs potentially contain …

Conformance checking techniques let us find out to what degree a process model and real
execution data correspond to each other. In recent years, alignments have proven extremely …