Predictive process monitoring is a subfield of process mining that aims to estimate case or
event features for running process instances. Such predictions are of significant interest to …

Outcome-oriented predictive process monitoring aims at classifying a running process
execution according to a given set of categorical outcomes, leveraging data on past process …

In the context of online banking, new users have to register their information to become
clients through mobile applications; this process is called digital onboarding. Fraudsters …

Event log sampling has emerged as a key research focus in the field of process mining,
aiming to enhance the efficiency of various process mining tasks, including model discovery …

Process model resulting from small event log datasets can be easily done because currently
available applications are relatively able to do so. However, when faced with event logs from …

Online courses: Four open online process mining courses, eg, Process Mining: Data science
in Action (Coursera with> 158.000 registered participants) Course and curriculum …