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2024 | OriginalPaper | Chapter

18. Business Process Management and Process Mining on the Large: Overview, Challenges, and Research Directions

Authors : Mouhameth Fadal M. Aidara, Samba Diaw, Mamadou Lakhassane Cisse

Published in: Mathematics of Computer Science, Cybersecurity and Artificial Intelligence

Publisher: Springer Nature Switzerland

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Abstract

This review addresses the integration of Business Process Management (BPM) and Process Mining (PM) in the context of Industry 4.0’s digital transformation. It highlights how BPM enhances business process efficiency, reducing costs and boosting profit, while PM, leveraging data from event logs, offers insights into actual process execution, bridging data and process science. Despite their complementary nature, the extent of BPM and PM integration remains underexplored. This review synthesizes existing literature and identifies future research directions, aiming to inform researchers and practitioners in these evolving fields.

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previous chapter Vulnerability Prediction of Web Applications from Source Code Based on Machine Learning and Deep Learning: Where Are At?
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Metadata
Title
Business Process Management and Process Mining on the Large: Overview, Challenges, and Research Directions
Authors
Mouhameth Fadal M. Aidara
Samba Diaw
Mamadou Lakhassane Cisse
Copyright Year
2024
Book
Mathematics of Computer Science, Cybersecurity and Artificial Intelligence

Print ISBN: 978-3-031-66221-8

Electronic ISBN: 978-3-031-66222-5

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-66222-5_18

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