Process discovery is the problem of, given a log of observed behaviour, finding a process
model that 'best'describes this behaviour. A large variety of process discovery algorithms …

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 …

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 …

Considerable amounts of data, including process events, are collected and stored by
organisations nowadays. Discovering a process model from such event data and verification …

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

Given the challenges associated to the process discovery task, more than a hundred
research studies addressed the problem over the past two decades. Despite the richness of …

Process mining is a technique that can discover and enhance business processes by
extracting knowledge from the event logs generated in information systems. A mixed …

As information systems are becoming more and more intertwined with the operational
processes they support, multitudes of events are recorded by today's information systems …

Process mining starts from event data. The ordering of events is vital for the discovery of
process models. However, the timestamps of events may be unreliable or imprecise. To …

Discovering process models from event data is a highly relevant, but also a notoriously
difficult, problem. Therefore, it is unsurprising that the biggest share of process mining …