CONDA-PM -- A Systematic Review and Framework for Concept Drift Analysis in Process Mining
Ghada Elkhawaga, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad, and Manfred Reichert

TL;DR
This paper introduces the CONDA-PM framework for systematic analysis of concept drift in process mining, aiming to standardize how changes in business processes are detected, localized, and studied over time.
Contribution
It provides a comprehensive framework for analyzing concept drift in process mining, derived from a systematic literature review, and evaluates existing approaches within this framework.
Findings
CONDA-PM highlights gaps in current research.
Framework applied to existing approaches reveals maturity levels.
Identifies areas needing further research.
Abstract
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…
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