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Bibliographic Details
Main Authors: Suleiman, Ali, Kassem, Gamal
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.18012
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author Suleiman, Ali
Kassem, Gamal
author_facet Suleiman, Ali
Kassem, Gamal
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2412_18012
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Extended Event Log: Towards a Unified Standard for Process Mining
Suleiman, Ali
Kassem, Gamal
Databases
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.
title Extended Event Log: Towards a Unified Standard for Process Mining
topic Databases
url https://arxiv.org/abs/2412.18012