Space-Time Cube Operations in Process Mining

Dina Sayed Bayomie Sobh, Lukas Pfahlsberger, Kate Cerqueira Revoredo, Jan Mendling

Publication: Chapter in book/Conference proceedingContribution to conference proceedings

Abstract

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.
Original languageEnglish
Title of host publicationLecture Notes in Business Information Processing
Editors Springer
Place of PublicationThe Practice of Enterprise Modeling
PublisherSpringer, Cham
Pages405 - 414
DOIs
Publication statusPublished - 2020

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