Recently, artificial intelligence (AI) and blockchain have become two of the most trending
and disruptive technologies. Blockchain technology has the ability to automate payment in …

Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

The process of generating, disseminating, using, and managing an organization's
information and knowledge is known as knowledge management (KM). Conventional KM …

Concept drift in process mining (PM) is a challenge as classical methods assume processes
are in a steady-state, ie, events share the same process version. We conducted a systematic …

The execution of processes in companies generates traces of event data, stored in the
underlying information system (s), capturing the actual execution of the process. Analyzing …

While a business process is most often executed following a normal path, anomalies may
sometimes arise and can be captured in event logs. Event log anomalies stem, for instance …

Streaming process mining refers to the set of techniques and tools which have the goal of
processing a stream of data (as opposed to a finite event log). The goal of these techniques …

Predictive process monitoring (PPM) is a specific task under the umbrella of Process Mining
that aims to predict several factors of a business process (eg, next activity prediction) based …

Companies often specify the intended behaviour of their business processes in a process
model. Conformance checking techniques allow us to assess to what degree such process …

Online process mining refers to a class of techniques for analyzing in real-time event
streams generated by the execution of business processes. These techniques are crucial in …