Transactions on Computational Collective Intelligence XXXIII

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-th...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Nguyen, Ngoc Thanh (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kowalczyk, Ryszard (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Xhafa, Fatos (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Transactions on Computational Collective Intelligence, 11610
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Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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-third issue contains 9 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. .
Φυσική περιγραφή:XI, 179 p. 93 illus., 46 illus. in color. online resource.
ISBN:9783662595404
ISSN:2190-9288 ;
DOI:10.1007/978-3-662-59540-4