Process Mining for Unstructured Data: Challenges and Research Directions

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 multipl...

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Bibliographic Details
Published in:arXiv.org 2023-11
Main Authors: Koschmider, Agnes, Aleknonytė-Resch, Milda, Fonger, Frederik, Imenkamp, Christian, Lepsien, Arvid, Apaydin, Kaan, Harms, Maximilian, Janssen, Dominik, Langhammer, Dominic, Ziolkowski, Tobias, Zisgen, Yorck
Format: Article
Language:English
Subjects:
Data analysis
Unstructured data
Online Access:Get full text
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.2401.13677