Buch, Englisch, Band 14663, 643 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1001 g
36th International Conference, CAiSE 2024, Limassol, Cyprus, June 3-7, 2024, Proceedings
Buch, Englisch, Band 14663, 643 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1001 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-031-61056-1
Verlag: Springer Nature Switzerland
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Betriebssysteme
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
Weitere Infos & Material
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.
