Interactive machine learning (IML) is an iterative learning process that tightly couples a
human with a machine learner, which is widely used by researchers and practitioners to …

Process discovery is probably the most interesting, but also most challenging, process
mining task. The goal is to take an event log containing example behaviors and create a …

With the increasing popularity of Internet of Things (IoT), edge computing has become the
key driving force to provide computing resources, storage and network services closer to the …

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 …

Declarative process models define the behaviour of business processes as a set of
constraints. Declarative process discovery aims at inferring such constraints from event logs …

Due to the omnipresence of digitally supported processes and storage facilities nowadays,
plenty of organisational data is available in the typical organisation. Process mining aims to …

By definition, regulatory rules (in legal context called norms) intend to achieve specific
behaviour from business processes, and might be relevant to the whole or part of a business …

The discovery of process models from event logs (ie process mining) has emerged as one of
the crucial challenges for enabling the continuous support in the life-cycle of a process …

Process models discovered from a process log using process mining tend to be complex
and have problems balancing between overfitting and underfitting. An overfitting model …

Process mining is a technique that can discover and enhance business processes by
extracting knowledge from the event logs generated in information systems. A mixed …