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 business process re-engineering value in improving the business process is undoubted.
Nevertheless, it is incredibly complex, time-consuming and costly. This study aims to review …

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, as with any form of data analysis, relies heavily on the quality of input data
to generate accurate and reliable results. A fit-for-purpose event log nearly always requires …

This thesis is about process mining: the analysis an organization's processes by using
process execution data. During the handling of a case or process instance data about the …

The increasing number of IoT devices equipped with sensors and actuators pervading every
domain of everyday life allows for improved automated monitoring and analysis of …

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 …

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 …

Process mining techniques analyze processes based on events stored in event logs. Yet,
low-level events recorded by information systems may not directly match high-level activities …

The domains of complex event processing (CEP) and business process management (BPM)
have different origins but for many aspects draw on similar concepts. While specific …