Process Mining allows organizations to obtain actual business process models from event
logs (discovery), to compare the event log or the resulting process model in the discovery …

The execution of processes in companies generates traces of event data, stored in the
underlying information system (s), capturing the actual execution of the process. Analyzing …

Process mining provides a rich set of techniques to discover valuable knowledge of
business processes based on data that was recorded in different types of information …

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 event data is a fundamental building block for process mining as event logs portray
the execution trails of business processes from which knowledge and insights can be …

Virtually all techniques, developed in the area of process mining, assume the input event
data to be discrete, and, at a relatively high level (ie, close to the business-level). However …

Process mining analyzes events that are logged during the execution of a process, with the
aim of gathering useful information and knowledge. Process discovery algorithms derive …

Methods from the area of Process Mining traditionally focus on extracting insight in business
processes from event logs. In this paper we explore the potential of Process Mining to …

Process pattern discovery methods (PPDMs) aim at identifying patterns of interest to users.
Existing PPDMs typically are unsupervised and focus on a single dimension of interest, such …

In industrial manufacturing, a production process usually consists of multiple manufacturing
steps during the transformation of raw material into a complete product. Depending on …