Predictive process monitoring is a subfield of process mining that aims ...
Event logs, as viewed in process mining, contain event data describing t...
Conformance checking deals with collating modeled process behavior with
...
Predictive process monitoring is a subfield of process mining that aims ...
Executing operational processes generates event data, which contain
info...
Process discovery aims to learn a process model from observed process
be...
Rapidly changing business environments expose companies to high levels o...
Process mining aims to diagnose and improve operational processes. Proce...
Conformance checking techniques allow us to quantify the correspondence ...
Since their recent introduction, process trees have been frequently used...
Conformance checking techniques let us find out to what degree a process...
Process mining, i.e., a sub-field of data science focusing on the analys...
Data of sequential nature arise in many application domains in forms of,...
The aim of process discovery, originating from the area of process minin...
The number of events recorded for operational processes is growing every...