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 …

Conformance checking is a set of process mining functions that compare process instances
with a given process model. It identifies deviations between the process instances' actual …

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 …

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 …

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 …

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 …

Considerable amounts of data, including process events, are collected and stored by
organisations nowadays. Discovering a process model from such event data and verification …

Fraud detection often includes analyzing large datasets of enterprise resource planning
systems to locate irregularities. Analysis of the datasets often results in a large number of …

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

Process mining techniques relate observed behavior (ie, event logs) to modeled behavior
(eg, a BPMN model or a Petri net). Process models can be discovered from event logs and …