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Conceptual Modeling: 37th International Conference, ER 2018, Xi'an, China, October 2225, 2018, Proceedings 2018 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 636 pages, kõrgus x laius: 235x155 mm, kaal: 991 g, 229 Illustrations, black and white; XIX, 636 p. 229 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 11157
  • Ilmumisaeg: 26-Sep-2018
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030008460
  • ISBN-13: 9783030008468
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Conceptual Modeling: 37th International Conference, ER 2018, Xi'an, China, October 2225, 2018, Proceedings 2018 ed.Suurem pilt
  • Formaat: Paperback / softback, 636 pages, kõrgus x laius: 235x155 mm, kaal: 991 g, 229 Illustrations, black and white; XIX, 636 p. 229 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 11157
  • Ilmumisaeg: 26-Sep-2018
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3030008460
  • ISBN-13: 9783030008468
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783030008468.html
Märksõnad:

This book constitutes the refereed proceedings of the 37th International Conference on Conceptual Modeling, ER 2018, held in XI'an, China, in October 2018.

The 30 full and 13 short papers presented together with 3 keynotes were carefully reviewed and selected from 151 submissions.

This events covers a wide range of following topics: Conceptual modeling studies,  ontological modeling, semi-structured data modeling, process modeling and management, spatio-temporal modeling, cloud-based modeling, schema and view modeling,languages and models, NoSQL modeling, conceptual modeling for machine learning and reasoning, applications of conceptual modeling.

Keynotes.- Conceptual modeling studies.- Conceptual modeling studies
II.- Ontological modeling.- Semi-structured data modeling.- Process modeling
and management.- Spatio-temporal modeling.- Cloud-based modeling.- Schema and
view modeling.- Languages and models.- NoSQL modeling.- Conceptual modeling
for machine learning and reasoning.- Conceptual modeling for machine learning
and reasoning II.- Applications of conceptual modeling.