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Granularity in Process Mining: Can We Fix It?

IN: CEUR Workshop Proceedings

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Alexandria

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.

Francesca Zerbato, Ronny Seiger, Gemma Di Federico, Andrea Burattin, Barbara Weber

3 Sep 2021

Item Type
Conference or Workshop Item
Journal Title
CEUR Workshop Proceedings
Language
English
Subject Areas
computer science