Process Mining allows organizations to obtain actual business process models from event
logs (discovery), to compare the event log or the resulting process model in the discovery …

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 …

Business process mining is a new method that amalgamates business process modelling
and analysis with data mining and machine learning techniques, whereby knowledge from …

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 …

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 …

Time series are all around in real-world applications. However, unexpected accidents for
example broken sensors or missing of the signals will cause missing values in time series …

Process discovery, one of the key challenges in process mining, aims at discovering process
models from process execution data stored in event logs. Most discovery algorithms assume …

Given the challenges associated to the process discovery task, more than a hundred
research studies addressed the problem over the past two decades. Despite the richness of …

The strong impulse to digitize processes and operations in companies and enterprises have
resulted in the creation and automatic recording of an increasingly large amount of process …

Nowadays, more and more process data are automatically recorded by information systems,
and made available in the form of event logs. Process mining techniques enable process …