Transactions on Computational Collective Intelligence XXXVI [electronic resource] / edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Anna Motylska-Kuźma, Jacek Mercik.
Contributor(s): Nguyen, Ngoc Thanh [editor.]
| Kowalczyk, Ryszard [editor.] | Motylska-Kuźma, Anna [editor.] | Mercik, Jacek [editor.] | SpringerLink (Online service).
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BookSeries: Transactions on Computational Collective Intelligence: 13010Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: X, 161 p. 26 illus., 16 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662645635.Subject(s): Artificial intelligence | Application software | User interfaces (Computer systems) | Human-computer interaction | Computer engineering | Computer networks | Artificial Intelligence | Computer and Information Systems Applications | User Interfaces and Human Computer Interaction | Computer Engineering and NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This 36th issue contains 7 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users.
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This 36th issue contains 7 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users.
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