Buch, Englisch, Band 477, 158 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g
CAiSE Forum 2023, Zaragoza, Spain, June 12-16, 2023, Proceedings
Buch, Englisch, Band 477, 158 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 265 g
Reihe: Lecture Notes in Business Information Processing
ISBN: 978-3-031-34673-6
Verlag: Springer International Publishing
This book constitutes the thoroughly refereed proceedings of the CAiSE Forum 2023 which was held in Zaragoza, Spain, in June 2023, as part of the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023.
The CAiSE Forum is a place within the CAiSE conference for presenting and discussing new ideas and tools related to information systems engineering. Intended to serve as an interactive platform, the Forum aims at the presentation of emerging new topics and controversial positions, as well as demonstration of innovative systems, tools and applications. This year’s edition of the conference put a special emphasis on the theme of Cyber-Human Systems.
A total of 25 papers was sent for peer review. 12 of these papers were invited from CAiSE and 13 have been directly submitted to the Forum. After a careful review and selection, 12 of the invited and 6 of the newly submitted papers have been accepted for publication.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Context-Aware Change Pattern Detection in Event Attributes of Recurring Activities.- Towards a UML Profile for Designing Smart IoT Data-Centric Applications.- An End-to-End Approach for Online Decision Mining and Decision Drift Analysis in Process-Aware Information Systems.- Towards Designing Energy-Aware Cybersecurity Policies.- Data-Driven Methodology for Guiding the Selection of Preprocessing Techniques in a Machine Learning Pipeline.- Parsing causal models – an instance segmentation approach.- Visualising Personal Data Flows: Insights from a Case Study of Booking.com.- Rsourcer: Scaling Feedback on Research Drafts.- Recommining: Learning relations between event log characteristics and machine learning approaches for supporting predictive process monitoring.- A Goal-Driven Approach to Support Decision-Making with Incomplete Information in Cyber Operations.- Integrating IoT-Driven Events into Business Processes.- Adaptive Task-oriented Chatbots Using Feature-based Knowledge Bases.- An AI-based Writing Assistant for Legal Users.- AIDA: A Tool for Resiliency in Smart Manufacturing.- Conceptual Formalization of Massive Storage for Advancing Decision-making with Data Analytics.- Towards Leveraging Tests to Identify Impacts of Metamodel and Code Co-evolution.- Advancing IS Strategy for Natural History Museums with Method Engineering in the Digital Age.- The KYKLOS Tool for Modeling Changing Capabilities.
