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, an emerging data analytics method, has been used effectively in various
healthcare contexts including oncology, the study of cancer. Cancer is a complex disease …

In recent years, monitoring the compliance of business processes with relevant regulations,
constraints, and rules during runtime has evolved as major concern in literature and …

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 …

Process mining is a family of techniques that aim at analyzing business process execution
data recorded in event logs. Conformance checking is a branch of this discipline embracing …

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 …

In the last decade, as an emerging technique for business processes management, process
mining (PM) has been applied in many domains, including manufacturing, supply-chain …

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 …

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 …

Process discovery is one of the main branches of process mining that allows the user to
build a process model representing the process behavior as recorded in the logs. Standard …