Reducing waiting times in end-to-end business processes is a recurrent concern in the field
of business process management. The uptake of data-driven approaches in this field in the …

During the last decades, process mining (PM) has matured and rapidly increased in its
adoption. Making sense of data is a main part of the work of PM analysts, which involves …

Organizations constantly seek ways to improve their business processes. This often involves
using digital technologies to enable process improvements. However, simply substituting …

Prescriptive process monitoring methods recommend interventions during the execution of a
process to maximize its success rate. Current research in this field focuses on algorithms to …

Process mining tools help analysts in conducting a data-driven analysis of business
processes. However, identifying improvement opportunities is still a manual task that …

The ideology behind process modelling is to visualise lengthy event logs into simple
representations interpretable to the end user. Classifying process models as simple or …

T his chapter is dedicated to the general introduction of the Ph. D. thesis. In particular, I start
the chapter with the description of the context and the motivations of this research (see …

Prescriptive process monitoring is a family of methods to recommend interventions during
the execution of a case that, if followed, optimize the process with respect to one or more …

Abstract Information systems across various industries become more common every year.
Organizations aim to leverage data collected by such systems to gain useful knowledge and …

Dalam era pertumbuhan teknologi digital, Business Process Management (BPM) menjadi
krusial untuk meningkatkan efisiensi operasional perusahaan IT. Paper ini menyajikan …