Purpose This study explores how process managers perceive the adoption, use and
management of process mining in practice. While research in process mining predominantly …

Initially, process mining focused on discovering process models from event data, but in
recent years the use and importance of conformance checking has increased. Conformance …

Process mining is a research area focusing on the design of algorithms that can
automatically provide insights into business processes. Among the most popular algorithms …

Process mining refers to a family of algorithms used to computationally reconstruct, analyze
and visualize business processes through event log data. While process mining is …

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 …

Mixed-paradigm process models integrate strengths of procedural and declarative
representations like Petri nets and Declare. They are specifically interesting for process …

Business process management (BPM) aims to support changes and innovations in
organizations' processes. Process mining complements BPM with methods, techniques, and …

The problem of goal recognition requests to automatically infer an accurate probability
distribution over possible goals an autonomous agent is attempting to achieve in the …

Alignments provide sophisticated diagnostics that pinpoint deviations in a trace with respect
to a process model. Alignment-based approaches for conformance checking have so far …

Capturing stochastic behaviour in business and work processes is essential to quantitatively
understand how nondeterminism is resolved when taking decisions within the process. This …