Computational Collective Intelligence 11th International Conference, ICCCI 2019, Hendaye, France, September 4-6, 2019, Proceedings, Part I /

This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019. The 117 full papers presented were carefully reviewed and selected from 204 submi...

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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), Chbeir, Richard (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Exposito, Ernesto (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Aniorté, Philippe (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Trawiński, Bogdan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Lecture Notes in Artificial Intelligence ; 11683
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019. The 117 full papers presented were carefully reviewed and selected from 204 submissions. The papers are grouped in topical sections on: knowledge engineering and semantic web; social networks and recommender systems; text processing and information retrieval; data mining methods and applications; computer vision techniques; decision support and control systems; cooperative strategies for decision making and optimization; intelligent modeling and simulation approaches for real world systems; and innovations in intelligent systems.
Φυσική περιγραφή:XXXII, 716 p. 354 illus., 187 illus. in color. online resource.
ISBN:9783030283773
DOI:10.1007/978-3-030-28377-3