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Advanced Information Systems Engineering: 36th International Conference, CAiSE 2024, Limassol, Cyprus, June 37, 2024, Proceedings 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 643 pages, kõrgus x laius: 235x155 mm, 96 Illustrations, color; 54 Illustrations, black and white; XXV, 643 p. 150 illus., 96 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14663
  • Ilmumisaeg: 03-Jun-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031610563
  • ISBN-13: 9783031610561
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  • Formaat: Paperback / softback, 643 pages, kõrgus x laius: 235x155 mm, 96 Illustrations, color; 54 Illustrations, black and white; XXV, 643 p. 150 illus., 96 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 14663
  • Ilmumisaeg: 03-Jun-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031610563
  • ISBN-13: 9783031610561
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. 

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.