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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
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Refereed: |
Yes |
Keywords: |
Process mining; trace clustering; multiple perspectives
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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 > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - 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 > 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 |
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