Process Mining for Unstructured Data: Challenges and Research Directions
This work identifies key problems for researchers and practitioners in fields where unstructured data is prevalent, but it is incremental as it focuses on discussing challenges rather than presenting a novel method.
The paper addresses the challenges of applying process mining to unstructured data, proposing initial solutions and outlining future research directions to enable effective analysis and confidence in results.
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.