Process mining allows analysts to exploit logs of historical executions of business processes
to extract insights regarding the actual performance of these processes. One of the most …

Process mining techniques use event data to answer a variety of process-related questions.
Process discovery, conformance checking, model enhancement, and operational support …

Business processes are a key driver of organizational success, which is why business
process improvement (BPI) is a central activity of business process management. Despite an …

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

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 …

The declarative specification of business processes is based upon the elicitation of
behavioural rules that constrain the legal executions of the process. The carry-out of the …

Clinical guidelines aim at improving the quality of care processes through evidence-based
insights. However, there may be good reasons to deviate from such guidelines or the …

Predictive business process monitoring aims at leveraging past process execution data to
predict how ongoing (uncompleted) process executions will unfold up to their completion …

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 …

Today, large business processes are composed of smaller, autonomous, interconnected
subsystems, achieving modularity and robustness. Quite often, these large processes …