Advanced Information Systems Engineering: 36th International Conference, CAiSE 2024, Limassol, Cyprus, June 3–7, 2024, Proceedings
Author:   Giancarlo Guizzardi ,  Flavia Santoro ,  Haralambos Mouratidis ,  Pnina Soffer
Publisher:   Springer International Publishing AG
Volume:   14663
ISBN:  

9783031610561


Pages:   643
Publication Date:   03 June 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advanced Information Systems Engineering: 36th International Conference, CAiSE 2024, Limassol, Cyprus, June 3–7, 2024, Proceedings


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Overview

This book constitutes the proceedings of the 36th International Conference on Advanced Information Systems Engineering, CAiSE 2024, which was held in Limassol, Cyprus, during June 3-7, 2024. The 36 full papers included in these proceedings were carefully reviewed and selected from 180 submissions. They were organized in topical sections as follows: Process alignment, comparison and discovery; process discovery, monitoring and correction; graphs and graph networks; process modelling and management; prediction, monitoring and planning; data preparation, sharing, and architecture; requirements; process and decision mining; event and process discovery; session trust, security and risk; social aspects and LLMs; model-driven engineering and quantum workflows. 

Full Product Details

Author:   Giancarlo Guizzardi ,  Flavia Santoro ,  Haralambos Mouratidis ,  Pnina Soffer
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   14663
ISBN:  

9783031610561


ISBN 10:   3031610563
Pages:   643
Publication Date:   03 June 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Process alignment, comparison and discovery.- process discovery, monitoring and correction.- graphs and graph networks.- process modelling and management; prediction, monitoring and planning.- data preparation, sharing, and architecture.- requirements.- process and decision mining.- event and process discovery.- session trust, security and risk.- social aspects and LLMs.- model-driven engineering and quantum workflows.

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