The growing interest in process mining is fueled by the increasing availability of event data.
Process mining techniques use event logs to automatically discover process models, check …

The problem of automated discovery of process models from event logs has been
intensively researched in the past two decades. Despite a rich field of proposals, state-of-the …

Traditionally, process mining has been used to extract models from event logs and to check
or extend existing models. This has shown to be useful for improving processes and their IT …

Process mining techniques are able to extract knowledge from event logs commonly
available in today's information systems. These techniques provide new means to discover …

Process mining techniques help organizations discover and analyze business processes
based on raw event data. The recently released" Process Mining Manifesto" presents …

Nowadays, all kinds of information systems store detailed information in logs. Process
mining has emerged as a way to analyze these systems based on these detailed logs …

Modern information systems produce tremendous amounts of event data. The area of
process mining deals with extracting knowledge from this data. Real-life processes can be …

In the era of “big data”, one of the key challenges is to analyze large amounts of data
collected in meaningful and scalable ways. The field of process mining is concerned with the …

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 …

As organizations change, their information systems can evolve from simple systems to
complex systems, which are hard to understand, and therefore hard to maintain or extend …