Quotation Bayomie Sobh, Dina Sayed, Pfahlsberger, Lukas, Cerqueira Revoredo, Kate, Mendling, Jan. 2020. Space-Time Cube Operations in Process Mining. In Lecture Notes in Business Information Processing, Hrsg. Springer, 405-414. The Practice of Enterprise Modeling: Springer, Cham.




Process mining techniques provide data-driven visualizations that help gaining multi-perspective insights into business processes. These techniques build on a variety of algorithms, however without any explicit reference to the spectrum of potential analysis of operations. For this reason, it is unclear if the state of the art of process mining has missed opportunities to develop techniques that could be of potential value to an analyst. In this paper, we refer to research on information visualization where this problem has been addressed from a more general angle. More specifically, we use the framework defined for space-time cube operations to explore to which extent process mining instantiates these operations. To this end, we refer to most widely used commercial process mining tools and analyze their analysis operations. We find that the majority of the operations are already supported by the tools, but there are still unsupported ones, which exhibit opportunities for future research and tool innovation.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Space-Time Cube Operations in Process Mining
Title of whole publication Lecture Notes in Business Information Processing
Editor Springer
Page from 405
Page to 414
Location The Practice of Enterprise Modeling
Publisher Springer, Cham
Year 2020
URL https://doi.org/10.1007/978-3-030-63479-7\_28
Open Access N


Causal Process Mining: Concepts and Tool
Bayomie Sobh, Dina Sayed (Details)
Pfahlsberger, Lukas (Former researcher)
Cerqueira Revoredo, Kate (Former researcher)
Mendling, Jan (Details)
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