The basic idea of process mining is to extract knowledge from event logs recorded by an
information system. Until recently, the information in these event logs was rarely used to …

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 …

Process mining aims at extracting information from event logs to capture the business
process as it is being executed. Process mining is particularly useful in situations where …

Nowadays, most organizations use information systems to support the execution of their
business processes [37]. Examples of information systems supporting operational processes …

Information systems ease the collecting, processing, storing, and distributing informations,
which in turn lead to decision-making and control in organizations. Information systems …

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

Process mining is helpful for deploying new business processes as well as auditing,
analyzing and improving the already enacted ones. Most of the existing process mining …

This paper discusses four algorithms for detecting anomalies in logs of process aware
systems. One of the algorithms only marks as potential anomalies traces that are infrequent …

Due to the omnipresence of digitally supported processes and storage facilities nowadays,
plenty of organisational data is available in the typical organisation. Process mining aims to …

Although there has been much progress in developing process mining algorithms in recent
years, no effort has been put in developing a common means of assessing the quality of the …