Over the last decade, process mining emerged as a new research field that focuses on the
analysis of processes using event data. Classical data mining techniques such as …

Business Process Management (BPM) research resulted in a plethora of methods,
techniques, and tools to support the design, enactment, management, and analysis of …

A model is an artefact to represent a specific concept. It maps properties of the concept into
some abstract representation, driven by the purpose of the model. As such, models …

Process mining techniques use event data to discover process models, to check the
conformance of predefined process models, and to extend such models with information …

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 …

Initially, process mining focused on discovering process models from event data, but in
recent years the use and importance of conformance checking has increased. Conformance …

The practical relevance of process mining is increasing as more and more event data
become available. Process mining techniques aim to discover, monitor and improve real …

Conformance checking techniques compare observed behavior (ie, event logs) with
modeled behavior for a variety of reasons. For example, discrepancies between a normative …

Most organizations have process models describing how cases need to be handled. In fact,
legislation and standardization (cf. the Sarbanes-Oxley Act, the Basel II Accord, and the ISO …

Increasingly organizations are using process mining to understand the way that operational
processes are executed. Process mining can be used to systematically drive innovation in a …