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Transactions on Computational Collective Intelligence XXXV

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Transactions on Computational Collective Intelligence XXXV/ edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Jacek Mercik, Anna Motylska-Kuźma.
其他作者:	Motylska-Kuźma, Anna.
面頁冊數:	IX, 171 p. 26 illus., 12 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Information Systems Applications (incl. Internet). -
電子資源:	https://doi.org/10.1007/978-3-662-62245-2
ISBN:	9783662622452

Transactions on Computational Collective Intelligence XXXV
Transactions on Computational Collective Intelligence XXXV[electronic resource] /edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Jacek Mercik, Anna Motylska-Kuźma. - 1st ed. 2020. - IX, 171 p. 26 illus., 12 illus. in color.online resource. - Transactions on Computational Collective Intelligence,123302190-9288 ;. - Transactions on Computational Collective Intelligence,9420.

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.

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.

ISBN: 9783662622452

Standard No.: 10.1007/978-3-662-62245-2doiSubjects--Topical Terms:

881699
Information Systems Applications (incl. Internet).

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

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