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 denote...

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Main Authors: Ghada Elkhawaga, Mervat Abuelkheir, Sherif I. Barakat, Alaa M. Riad, Manfred Reichert
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Algorithms
Subjects:
Online Access:https://www.mdpi.com/1999-4893/13/7/161
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spelling doaj-e0c9b7953e334c399b840dd255e6a6752020-11-25T03:34:24ZengMDPI AGAlgorithms1999-48932020-07-011316116110.3390/a13070161CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process MiningGhada Elkhawaga0Mervat Abuelkheir1Sherif I. Barakat2Alaa M. Riad3Manfred Reichert4Institute for Databases and Information Systems, Ulm University, 89081 Ulm, GermanyFaculty of Media Engineering and Technology, German University in Cairo, New Cairo 11835, EgyptFaculty of Computers and Information, Mansoura University, Dakahlia Governorate 35516, EgyptFaculty of Computers and Information, Mansoura University, Dakahlia Governorate 35516, EgyptInstitute for Databases and Information Systems, Ulm University, 89081 Ulm, GermanyBusiness 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 (CONcept Drift Analysis in Process Mining Framework. A four-staged framework providing guidance on the fundamental components of a concept drift analysis approach in the context of process mining (CONDA-PM,)) framework describing phases and requirements of a concept drift analysis approach. CONDA-PM was derived from a Systematic Literature Review (Systematic Literature Review. A survey of a topic conducted according to systematic steps and adopts a certain format (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.https://www.mdpi.com/1999-4893/13/7/161process miningconcept drift analysisbusiness processProcess-Aware Information Systemssystematic literature review
collection DOAJ
language English
format Article
sources DOAJ
author Ghada Elkhawaga
Mervat Abuelkheir
Sherif I. Barakat
Alaa M. Riad
Manfred Reichert
spellingShingle Ghada Elkhawaga
Mervat Abuelkheir
Sherif I. Barakat
Alaa M. Riad
Manfred Reichert
CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining
Algorithms
process mining
concept drift analysis
business process
Process-Aware Information Systems
systematic literature review
author_facet Ghada Elkhawaga
Mervat Abuelkheir
Sherif I. Barakat
Alaa M. Riad
Manfred Reichert
author_sort Ghada Elkhawaga
title CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining
title_short CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining
title_full CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining
title_fullStr CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining
title_full_unstemmed CONDA-PM—A Systematic Review and Framework for Concept Drift Analysis in Process Mining
title_sort conda-pm—a systematic review and framework for concept drift analysis in process mining
publisher MDPI AG
series Algorithms
issn 1999-4893
publishDate 2020-07-01
description 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 (CONcept Drift Analysis in Process Mining Framework. A four-staged framework providing guidance on the fundamental components of a concept drift analysis approach in the context of process mining (CONDA-PM,)) framework describing phases and requirements of a concept drift analysis approach. CONDA-PM was derived from a Systematic Literature Review (Systematic Literature Review. A survey of a topic conducted according to systematic steps and adopts a certain format (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.
topic process mining
concept drift analysis
business process
Process-Aware Information Systems
systematic literature review
url https://www.mdpi.com/1999-4893/13/7/161
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