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Quality-Informed Semi-Automated Event Log Generation for Process Mining

Title data

Andrews, Robert ; van Dun, Christopher G. J. ; Wynn, Moe T. ; Kratsch, Wolfgang ; Röglinger, Maximilian ; ter Hofstede, Arthur H. M.:
Quality-Informed Semi-Automated Event Log Generation for Process Mining.
In: Decision Support Systems. Vol. 132 (2020) . - p. 113265.
ISSN 0167-9236
DOI: https://doi.org/10.1016/j.dss.2020.113265

Official URL: Volltext

Abstract in another language

Process mining, as any form of data analysis, relies heavily on the quality ofinput data to generate accurate and reliable results. A fit-for-purpose event lognearly always requires time-consuming, manual pre-processing to extract eventsfrom source data, with data quality dependent on the analyst’s domain knowledgeand skills. Despite much being written about data quality in general, ageneralisable framework for analysing event data quality issues when extractinglogs for process mining remains unrealised. Following the DSR paradigm,we present RDB2Log, a quality-aware, semi-automated approach for extractingevent logs from relational data. We validated RDB2Log’s design against designobjectives extracted from literature and competing artifacts, evaluated itsdesign and performance with process mining experts, implemented a prototypewith a defined set of quality metrics, and applied it in laboratory settings and ina real-world case study. The evaluation shows that RDB2Log is understandable,of relevance in current research, and supports process mining in practice.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: process mining; data quality; event log; log generation
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 28 Feb 2020 09:27
Last Modified: 25 Jun 2020 10:44
URI: https://eref.uni-bayreuth.de/id/eprint/54442