Process mining allows analysts to exploit logs of historical executions of business processes
to extract insights regarding the actual performance of these processes. One of the most …

Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …

The declarative specification of business processes is based upon the elicitation of
behavioural rules that constrain the legal executions of the process. The carry-out of the …

Process models are an important means to capture information on organizational operations
and often represent the starting point for process analysis and improvement. Since the …

Within the process mining field, Deterministic Finite State Automata (DFAs) are largely
employed as foundation mechanisms to perform formal reasoning tasks over the information …

Event sequence data is increasingly available in various application domains, such as
business process management, software engineering, or medical pathways. Processes in …

In a variety of application domains,(business) processes are intrinsically uncertain.
Surprisingly, only very few languages and techniques in BPM consider uncertainty as a first …

Manufacturing is undergoing transformation driven the developments in process technology,
information technology, and data science. The incoming changes are disruptive and will …

In the last years, process mining has significantly matured and has increasingly been
applied by companies in industrial contexts. However, with the growing number of process …

Over the past few years, several software companies have emerged that offer process
mining tools to assist enterprises in gaining insights into their process executions. However …