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 are used to extract knowledge about the efficiency and
compliance of an organization's business processes through process models. Real-life …

Many organisations now seek to analyse and improve their processes using event logs from
various IT systems supporting their operations. Process mining aims to obtain insights from …

Considerable amounts of data, including process events, are collected and stored by
organisations nowadays. Discovering a process model from such event data and verification …

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 …

Process discovery methods automatically infer process models from event logs. Often, event
logs contain so-called noise, eg, infrequent outliers or recording errors, which obscure the …

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 …

Process mining aims to artificially derive meaningful information from event logs recorded
from information systems that support business processes in organisations. In many real-life …

In process mining, extensive data about an organizational process is summarized by a
formal mathematical model with well-grounded semantics. In recent years a number of …

With digitalization, new type of firms—the so-called business platforms—emerged as a
central hub in two-sided markets. As business platforms do not 'produce'products or …