Computational Collective Intelligence : 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28–30, 2022, Proceedings / edited by Ngoc Thanh Nguyen, Yannis Manolopoulos, Richard Chbeir, Adrianna Kozierkiewicz, Bogdan Trawiński

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Artificial Intelligence ; 13501Publisher: Cham : Springer International Publishing, 2022Publisher: Cham : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 Online-Ressource(XXVII, 853 p. 347 illus., 215 illus. in color.)ISBN:

9783031160141

Subject(s):

Artificial intelligence

Additional physical formats: 9783031160134 | 9783031160158 | Erscheint auch als: 9783031160134 Druck-Ausgabe | Erscheint auch als: 9783031160158 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-16014-1Online resources:

Summary: Collective Intelligence and Collective Decision-Making -- Deep Learning Techniques -- Natural Language Processing -- Data Mining and Machine learning -- Knowledge Engineering and Semantic Web -- Computer Vision Techniques -- Social Networks and Intelligent Systems -- Cybersecurity and Internet of Things -- Cooperative Strategies for Decision Making and Optimization -- Computational Intelligence for Digital Content Understanding -- Applications for Industry 4.0.Summary: This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.PPN: PPN: 1817571729Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC | BSZ-2-SN-Auswahl

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