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Advanced Information Systems Engineering [electronic resource] : 35th International Conference, CAiSE 2023, Zaragoza, Spain, June 12–16, 2023, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 13901Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XIX, 641 p. 187 illus., 143 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031345609
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.3 23
LOC classification:
  • QA76.76.A65
Online resources: In: Springer Nature eBookSummary: This book constitutes the proceedings of the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023, which was held in Zaragoza, Spain, during June 12-16, 2023. The 36 full papers included in these proceedings were selected from 161 submissions. They were organized in topical sections as follows: Cyber-human and cyber-physical systems; requirements engineering; IoT; environmental applications; process mining; event-driven process mining; ontology and knowledge representation; model-driven approaches; process monitoring; conformance, compliance and workarounds; data-centric approaches; privacy and security; explainable AI; service-related approaches. .
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This book constitutes the proceedings of the 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023, which was held in Zaragoza, Spain, during June 12-16, 2023. The 36 full papers included in these proceedings were selected from 161 submissions. They were organized in topical sections as follows: Cyber-human and cyber-physical systems; requirements engineering; IoT; environmental applications; process mining; event-driven process mining; ontology and knowledge representation; model-driven approaches; process monitoring; conformance, compliance and workarounds; data-centric approaches; privacy and security; explainable AI; service-related approaches. .

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