Granularity in Process Mining: Can We Fix It?

Item Type Conference or Workshop Item (Paper)
Abstract Process mining techniques rely on the availability of event logs, where events have a certain granularity that is deemed appropriate for representing business activities. In this paper, we discuss why choosing a proper granularity level during preprocessing can be challenging and reflect on the implications that such a “fixed” view over the process bears for the analysis. Then, inspired by use cases in the context of user behavior analysis, we envision possible solutions that allow exploring and mining multiple granularity levels of process activities.
Authors Zerbato, Francesca; Seiger, Ronny; Di Federico, Gemma; Burattin, Andrea & Weber, Barbara
Journal or Publication Title CEUR Workshop Proceedings
Language English
Subjects computer science
HSG Classification contribution to scientific community
Date September 2021
Volume 2938
Page Range 40-44
Number of Pages 5
Title of Book PROBLEMS 2021: BPM Problems to Solve Before We Die 2021
ISSN 1613-0073
Depositing User Prof. Dr. Ronny Seiger
Date Deposited 03 Sep 2021 08:53
Last Modified 20 Jul 2022 17:46
URI: https://www.alexandria.unisg.ch/publications/264234

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Zerbato, Francesca; Seiger, Ronny; Di Federico, Gemma; Burattin, Andrea & Weber, Barbara: Granularity in Process Mining: Can We Fix It? 2021.

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https://www.alexandria.unisg.ch/id/eprint/264234
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