CONDA-PM: A Systematic Review and Framework for Concept Drift Analysis in Process Mining

Business processes evolve over time to adapt to changing business environments.
This requires continuous monitoring of business processes to gain insights into whether they conform
to the intended design or deviate from it. The situation when a business process changes while
being analysed is denoted as Concept Drift. Its analysis is concerned with studying how a business
process changes, in terms of detecting and localising changes and studying the effects of the latter.
Concept drift analysis is crucial to enable early detection and management of changes, that is,
whether to promote a change to become part of an improved process, or to reject the change
and make decisions to mitigate its effects. Despite its importance, there exists no comprehensive
framework for analysing concept drift types, affected process perspectives, and granularity levels of a
business process. This article proposes the CONcept Drift Analysis in Process Mining (CONDA-PM)
framework describing phases and requirements of a concept drift analysis approach. CONDA-PM
was derived from a Systematic Literature Review (SLR) of current approaches analysing concept
drift. We apply the CONDA-PM framework on current approaches to concept drift analysis and
evaluate their maturity. Applying CONDA-PM framework highlights areas where research is needed
to complement existing efforts.