Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

Purpose–This paper seeks to examine the area of business process mining, providing an
overview of state‐of‐the‐art techniques. An outline of the main problems experienced in 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 …

Given an event log describing observed behaviour, process discovery aims to find a process
model that 'best'describes this behaviour. A large variety of process discovery algorithms …

Many companies have adopted Process-aware Information Systems (PAIS) to support their
business processes in some form. On the one hand these systems typically log events (eg …

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 …

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 aims of process mining is to retrieve a process model from an event log. The
discovered models can be used as objective starting points during the deployment of …

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 …

Process mining has emerged as a way to analyze processes based on the event logs of the
systems that support them. Today's information systems (eg, ERP systems) log all kinds of …