Process Mining focuses on extracting knowledge from data generated and stored in
corporate information systems in order to analyze executed processes. In the healthcare …

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 …

In recent years, data science emerged as a new and important discipline. It can be viewed
as an amalgamation of classical disciplines like statistics, data mining, databases, and …

Process discovery is the problem of, given a log of observed behaviour, finding a process
model that 'best'describes this behaviour. A large variety of process discovery algorithms …

Given an event log describing observed behaviour, process discovery aims to find a process
model that 'best'describes this behaviour. A large variety of process discovery algorithms …

Over the last decade, process mining emerged as a new research field that focuses on the
analysis of processes using event data. Classical data mining techniques such as …

Performing business process analysis in healthcare organizations is particularly difficult due
to the highly dynamic, complex, ad hoc, and multi-disciplinary nature of healthcare …

The audit of financial statements is a complex and highly specialized process. Digitalization
and the increasing automation of transaction processing create new challenges for auditors …

Process mining techniques use event data to discover process models, to check the
conformance of predefined process models, and to extend such models with information …

Many companies have adopted Process-aware Information Systems (PAIS) to support their
business processes in some form. On the one hand these systems typically log events (eg …