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Advances in Conceptual Modeling: ER 2017 Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, Valencia, Spain, November 69, 2017, Proceedings 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 249 pages, height x width: 235x155 mm, weight: 4102 g, 77 Illustrations, black and white; XVII, 249 p. 77 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10651
  • Izdošanas datums: 10-Nov-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319706241
  • ISBN-13: 9783319706245
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Advances in Conceptual Modeling: ER 2017 Workshops AHA, MoBiD, MREBA, OntoCom, and QMMQ, Valencia, Spain, November 69, 2017, Proceedings 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 249 pages, height x width: 235x155 mm, weight: 4102 g, 77 Illustrations, black and white; XVII, 249 p. 77 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10651
  • Izdošanas datums: 10-Nov-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319706241
  • ISBN-13: 9783319706245
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319706245.html
Keywords:

This book constitutes the refereed proceedings of five workshops and a symposium, held at the 36th International Conference on Conceptual Modeling, ER 2017, in Valencia, Spain in November 2017.

The 21 revised full papers were carefully reviewed and selected out of 47 submissions to the following events:

  • AHA 2017 - 3rd International Workshop on Modeling for Ambient Assistance and Healthy Ageing
  • MoBiD 2017 - 6th International Workshop on Modeling and Management of Big Data
  • MREBA 2017 - 4th International Workshop on Conceptual Modeling in Requirements and Business Analysis
  • OntoCom 2017 - 5th International Workshop on Ontologies and Conceptual Modeling
  • QMMQ 2017 - 4th Workshop on Quality of Models and Models of Quality



Requirements analysis.-Business analysis:- Ambient Assisted Living:- Computing for Healthcare:- Data Science:-Data Analysis.- Business Intelligence.- Ontology.- Software Quality.- Model Quality.