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Advances in Conceptual Modeling: ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xian, China, October 22-25, 2018, Proceedings 2018 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 348 pages, height x width: 235x155 mm, weight: 569 g, 74 Illustrations, color; 100 Illustrations, black and white; XX, 348 p. 174 illus., 74 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11158
  • Izdošanas datums: 13-Oct-2018
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030013901
  • ISBN-13: 9783030013905
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Advances in Conceptual Modeling: ER 2018 Workshops Emp-ER, MoBiD, MREBA, QMMQ, SCME, Xian, China, October 22-25, 2018, Proceedings 2018 ed.Palielināt
  • Formāts: Paperback / softback, 348 pages, height x width: 235x155 mm, weight: 569 g, 74 Illustrations, color; 100 Illustrations, black and white; XX, 348 p. 174 illus., 74 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11158
  • Izdošanas datums: 13-Oct-2018
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030013901
  • ISBN-13: 9783030013905
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030013905.html
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This book constitutes the refereed proceedings of five workshops symposia, held at the 37th International Conference on Conceptual Modeling, ER 2018, in Xi’an, China, in October 2018. The 42 papers promote and disseminate research on theories of concepts underlying conceptual modeling, methods and tools for developing and communicating conceptual models, techniques for transforming conceptual models into effective implementations, and the impact of conceptual modeling techniques on databases, business strategies and information systems. The following workshops are included in this volume: Emp-ER: Empirical Methods in Conceptual Modeling, MoBiD: Modeling and Management of Big Data, MREBA: Conceptual Modeling in Requirements and Business Analysis, QMMQ: Quality of Models and Models of Quality, SCME: Conceptual Modeling Education.

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.