CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining
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Institute for Databases and Information Systems, Ulm University, 89081 Ulm, Germany
2
Faculty of Computers and Information, Mansoura University, 35516 Dakahlia Governorate, Egypt
3
Faculty of Media Engineering and Technology, German University in Cairo, 11835 New Cairo, Egypt
*
Author to whom correspondence should be addressed.
Algorithms 2020, 13(7), 161; https://doi.org/10.3390/a13070161
Received: 20 May 2020 / Revised: 19 June 2020 / Accepted: 29 June 2020 / Published: 3 July 2020
(This article belongs to the Special Issue Process Mining and Emerging Applications)
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.
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Keywords:
process mining; concept drift analysis; business process; Process-Aware Information Systems; systematic literature review
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MDPI and ACS Style
Elkhawaga, G.; Abuelkheir, M.; Barakat, S.I.; Riad, A.M.; Reichert, M. CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining. Algorithms 2020, 13, 161. https://doi.org/10.3390/a13070161
AMA Style
Elkhawaga G, Abuelkheir M, Barakat SI, Riad AM, Reichert M. CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining. Algorithms. 2020; 13(7):161. https://doi.org/10.3390/a13070161
Chicago/Turabian StyleElkhawaga, Ghada, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad, and Manfred Reichert. 2020. "CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining" Algorithms 13, no. 7: 161. https://doi.org/10.3390/a13070161
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