Extended Event Log: Towards a Unified Standard for Process Mining
Ali Suleiman, Gamal Kassem

TL;DR
This paper proposes a new unified standard for process mining event logs to enhance analysis consistency and reduce the need for project-specific log tailoring.
Contribution
It introduces a comprehensive event log standard aimed at unifying diverse existing standards to improve process mining outcomes.
Findings
Proposes a unified event log standard for process mining
Enhances process mining results without project-specific log adjustments
Addresses challenges in finding, merging, and cleaning event data
Abstract
Process mining has grown popular today given their ability to provide managers with insights into the actual business process as executed by employees. Process mining depends on event logs found in process aware information systems to model business processes. This has raised the need to develop event log standards given that event logs are the entry point to any process mining project. One of the main challenges of event logs and process mining in general as was mentioned by the IEEE task force on process mining deals with the finding, merging and cleaning event data.This resulted in having multiple event log standards with different features. This paper attempts to propose a new unified standard for event logs that enriches the results of process mining without the need to tailor event logs for each process mining project.
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Semantic Web and Ontologies · Big Data and Business Intelligence
