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Process Mining for Unstructured Data: Challenges and Research Directions

30 November 2023
Agnes Koschmider
Milda Aleknonyt.e-Resch
Frederik Fonger
Christian Imenkamp
Arvid Lepsien
Kaan Z Apaydin
Maximilian Harms
Dominik Janssen
Dominic Langhammer
Tobias Ziolkowski
Yorck Zisgen
    AI4TS
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Abstract

The application of process mining for unstructured data might significantly elevate novel insights into disciplines where unstructured data is a common data format. To efficiently analyze unstructured data by process mining and to convey confidence into the analysis result, requires bridging multiple challenges. The purpose of this paper is to discuss these challenges, present initial solutions and describe future research directions. We hope that this article lays the foundations for future collaboration on this topic.

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