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Computational Collective Intelligence: 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017, Proceedings, Part II 2017 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 614 pages, height x width: 235x155 mm, weight: 9591 g, 253 Illustrations, black and white; XXVII, 614 p. 253 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10449
  • Izdošanas datums: 07-Sep-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331967076X
  • ISBN-13: 9783319670768
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Computational Collective Intelligence: 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017, Proceedings, Part II 2017 ed.Palielināt
  • Formāts: Paperback / softback, 614 pages, height x width: 235x155 mm, weight: 9591 g, 253 Illustrations, black and white; XXVII, 614 p. 253 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 10449
  • Izdošanas datums: 07-Sep-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331967076X
  • ISBN-13: 9783319670768
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319670768.html
Keywords:
This two-volume set (LNAI 10448 and LNAI 10449) constitutes the refereed proceedings of the 9th International Conference on Collective Intelligence, ICCCI 2017, held in Nicosia, Cyprus, in September 2017.
The 117 full papers presented were carefully reviewed and selected from 248 submissions. The conference focuseson the methodology and applications of computational collective intelligence, included: multi-agent systems, knowledge engineering and semantic web, social networks and recommender systems, text processing and information retrieval, data mining methods and applications, sensor networks and internet of things, decision support & control systems, and computer vision techniques.

Cooperative Strategies for Decision Making and Optimization.- Computational Swarm Intelligence.- Machine Learning in Medicine and Biometrics.- Cyber Physical Systems in Automotive Area.- Internet of Things - Its Relations and Consequences.- Text Processing and Information Retrieval.- Low Resource Language Processing.- Computer Vision Techniques.- Intelligent Processing of Multimedia in Web Systems.