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 …

Process mining is the research domain focusing on the development of innovative methods
to gather insights from event logs. It has been used for various use cases within the …

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 …

Process discovery algorithms typically aim at discovering process models from event logs
that best describe the recorded behavior. Often, the quality of a process discovery algorithm …

Predictive modeling approaches in business process management provide a way to
streamline operational business processes. For instance, they can warn decision makers …

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 …

Process discovery is probably the most interesting, but also most challenging, process
mining task. The goal is to take an event log containing example behaviors and create a …

Process mining is the research domain that is dedicated to the a posteriori analysis of
business process executions. The techniques developed within this research area are …

Process Mining refers to the extraction of process models from event logs. Real-life
processes tend to be less structured and more flexible. Traditional process mining …

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 …