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, ie, a sub-field of data science focusing on the analysis of event data
generated during the execution of (business) processes, has seen a tremendous change …

Monitoring the state of currently running processes and reacting to ad-hoc situations during
runtime is a key challenge in Business Process Management (BPM). This is especially the …

By relating observed and modelled behaviour, conformance checking unleashes the full
power of process mining. Techniques from this discipline enable the analysis of the quality …

Streaming process mining refers to the set of techniques and tools which have the goal of
processing a stream of data (as opposed to a finite event log). The goal of these techniques …

Customer journey analysis is a hot topic in marketing. Understanding how the customers
behave is crucial and is considered as one of the key drivers of business success. To the …

New and compelling regulations (eg, the GDPR in Europe) impose tremendous pressure on
organizations, in order to adhere to standard procedures, processes, and practices. The field …

The Internet of Things (IoT) enables software-based access to vast amounts of data streams
from sensors measuring physical and virtual properties of smart devices and their …

Token-based replay used to be the standard way to conduct conformance checking. With the
uptake of more advanced techniques (eg, alignment based), token-based replay got …

Online process mining refers to a class of techniques for analyzing in real-time event
streams generated by the execution of business processes. These techniques are crucial in …