Transactions on Computational Collective Intelligence XXXV / edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Jacek Mercik, Anna Motylska-Kuźma

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Transactions on Computational Collective Intelligence ; 12330 | Springer eBook CollectionVerlag: Berlin, Heidelberg : Springer Berlin Heidelberg, 2020Verlag: Berlin, Heidelberg : Imprint: Springer, 2020Auflage: 1st ed. 2020Beschreibung: 1 Online-Ressource(IX, 171 p. 26 illus., 12 illus. in color.)ISBN:

9783662622452

Schlagwörter:

Andere physische Formen: 9783662622445 | 9783662622469 | Erscheint auch als: 9783662622445 Druck-Ausgabe | Erscheint auch als: 9783662622469 Druck-AusgabeDDC-Klassifikation:

006.3 23

DOI: DOI: 10.1007/978-3-662-62245-2Online-Ressourcen:

Zusammenfassung: More security or more freedom? A comparative analysis of the equilibrium in European democratic regimes -- Trials of Characterizations of Anti-manipulation Method -- Pairwise Voting Rules in Restricted Domains: The Disappearance and Persistence of Some Monotonicity Paradoxes -- Group Decision Making Based on Constructing a Short List -- A note on equal treatment and symmetry of values -- Decision-driven Model for Building IoT Architecture in Environmental Engineering -- The equity crowdfunding and family firms – a fuzzy linguistic approach -- Some propositions of approaches for measuring indirect control power of firms and mutual connections in corporate shareholding structures -- Some Strategic Decision Problems in Networks -- An IoT Virtual eLearning Space.Zusammenfassung: 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 thirty-fifth issue contains 10 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.PPN: PPN: 1734627174Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB

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