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 …

Within the research domain of process mining, process discovery aims at constructing a
process model as an abstract representation of an event log. The goal is to build a model …

Petri Nets–An Introduction [63] is a slim book that was published almost 30 years ago and
was quickly translated into six languages and sold several thousand copies. For a long time …

Techniques to discover Petri nets from event data assume precisely one case identifier per
event. These case identifiers are used to correlate events, and the resulting discovered Petri …

Process mining includes the automated discovery of processes from event logs. Based on
observed events (eg, activities being executed or messages being exchanged) a process …

One of the main challenges in process mining is to discover a process model describing
observed behaviour in the best possible manner. Since event logs only contain example …

The research domain of process discovery aims at constructing a process model (eg a Petri
net) which is an abstract representation of an execution log. Such a Petri net should (1) be …

Eric Badouel · Luca Bernardinello Philippe Darondeau Page 1 Texts in Theoretical Computer
Science An EATCS Series Petri Net Synthesis Eric Badouel · Luca Bernardinello Philippe …

The research domain of process discovery aims at constructing a process model (eg a Petri
net) which is an abstract representation of an execution log. Such a model should (1) be …

Processes are an integral part of nearly all organizations, driving their daily operations and
support activities. Increasingly, these business processes are supported by some …