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Multi-Perspective Clustering of Process Execution Traces

Title data

Jablonski, Stefan ; Röglinger, Maximilian ; Schönig, Stefan ; Wyrtki, Katrin:
Multi-Perspective Clustering of Process Execution Traces.
In: Enterprise Modelling and Information Systems Architectures. Vol. 14 (2019) .
ISSN 1866-3621
DOI: https://doi.org/10.18417/emisa.14.2

Abstract in another language

Process mining techniques enable extracting process models
from process event logs. Problems can arise if process mining is applied
to event logs of flexible processes that are extremely heterogeneous. Here,
trace clustering can be used to reduce the complexity of logs. Common
techniques use isolated criteria such as activity profiles for clustering.
Especially in flexible environments, however, additional data attributes
stored in event logs are a source of unused knowledge for trace clustering.
In this paper, we present a multi-perspective trace clustering approach
that improves the homogeneity of trace subsets. Our approach provides
an integrated definition of similarity between traces by defining a distance
measure that combines information about executed activities, performing resources, and data values. The evaluation with real-life event logs, one from a hospital and one with traffic fine data, shows that the homogeneity of the resulting clusters can be significantly improved compared to existing techniques.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Process mining; trace clustering; multiple perspectives
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and Value Oriented Process Management > Professorship Business Information Systems and Value Oriented 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 > 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: 07 Feb 2019 09:17
Last Modified: 26 Feb 2019 08:58
URI: https://eref.uni-bayreuth.de/id/eprint/47223