On the Selection of Process Mining Tools

On the Selection of Process Mining Tools

Process mining is a research discipline that applies data analysis and computational intelligence techniques to extract knowledge from event logs of information systems. It aims to provide new means to discover, monitor, and improve processes. Process mining has gained particular attention over rece...

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Bibliographic Details
Main Authors: Panagiotis Drakoulogkonas, Dimitris Apostolou
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
process mining
software tools
comparative analysis methodology
comparison criteria
ontology
decision tree
Online Access:https://www.mdpi.com/2079-9292/10/4/451
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spelling doaj-9b32e4765c624eabb9111df79e9abc672021-02-12T00:05:32ZengMDPI AGElectronics2079-92922021-02-011045145110.3390/electronics10040451On the Selection of Process Mining ToolsPanagiotis Drakoulogkonas0Dimitris Apostolou1Department of Informatics, School of Information and Communication Technologies, University of Piraeus, 80, M. Karaoli & A. Dimitriou St., 18534 Piraeus, GreeceDepartment of Informatics, School of Information and Communication Technologies, University of Piraeus, 80, M. Karaoli & A. Dimitriou St., 18534 Piraeus, GreeceProcess mining is a research discipline that applies data analysis and computational intelligence techniques to extract knowledge from event logs of information systems. It aims to provide new means to discover, monitor, and improve processes. Process mining has gained particular attention over recent years and new process mining software tools, both academic and commercial, have been developed. This paper provides a survey of process mining software tools. It identifies and describes criteria that can be useful for comparing the tools. Furthermore, it introduces a multi-criteria methodology that can be used for the comparative analysis of process mining software tools. The methodology is based on three methods, namely ontology, decision tree, and Analytic Hierarchy Process (AHP), that can be used to help users decide which software tool best suits their needs.https://www.mdpi.com/2079-9292/10/4/451process miningsoftware toolscomparative analysis methodologycomparison criteriaontologydecision tree
collection DOAJ
language English
format Article
sources DOAJ
author Panagiotis Drakoulogkonas
Dimitris Apostolou
spellingShingle Panagiotis Drakoulogkonas
Dimitris Apostolou
On the Selection of Process Mining Tools
Electronics
process mining
software tools
comparative analysis methodology
comparison criteria
ontology
decision tree
author_facet Panagiotis Drakoulogkonas
Dimitris Apostolou
author_sort Panagiotis Drakoulogkonas
title On the Selection of Process Mining Tools
title_short On the Selection of Process Mining Tools
title_full On the Selection of Process Mining Tools
title_fullStr On the Selection of Process Mining Tools
title_full_unstemmed On the Selection of Process Mining Tools
title_sort on the selection of process mining tools
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2021-02-01
description Process mining is a research discipline that applies data analysis and computational intelligence techniques to extract knowledge from event logs of information systems. It aims to provide new means to discover, monitor, and improve processes. Process mining has gained particular attention over recent years and new process mining software tools, both academic and commercial, have been developed. This paper provides a survey of process mining software tools. It identifies and describes criteria that can be useful for comparing the tools. Furthermore, it introduces a multi-criteria methodology that can be used for the comparative analysis of process mining software tools. The methodology is based on three methods, namely ontology, decision tree, and Analytic Hierarchy Process (AHP), that can be used to help users decide which software tool best suits their needs.
topic process mining
software tools
comparative analysis methodology
comparison criteria
ontology
decision tree
url https://www.mdpi.com/2079-9292/10/4/451
work_keys_str_mv AT panagiotisdrakoulogkonas ontheselectionofprocessminingtools
AT dimitrisapostolou ontheselectionofprocessminingtools
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