Computational collective intelligence : 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017, Proceedings. Part I /

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Bibliographic Details
Meeting name:ICCCI (Conference) (9th : 2017 : Nicosia, Cyprus)
Imprint:Cham, Switzerland : Springer, 2017.
Description:1 online resource (xxviii, 592 pages) : illustrations
Language:English
Series:Lecture notes in computer science, 0302-9743 ; 10448
Lecture notes in artificial intelligence
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science ; 10448.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11361542
Hidden Bibliographic Details
Varying Form of Title:ICCCI 2017
Other authors / contributors:Nguyen, Ngoc Thanh (Computer scientist), editor.
Papadopoulos, George A., 1960- editor.
Je̜drzejowicz, Piotr, editor.
Trawiński, Bogdan, editor.
Vossen, Gottfried, editor.
ISBN:9783319670744
3319670743
3319670735
9783319670737
9783319670737
Digital file characteristics:text file PDF
Notes:International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed September 21, 2017).
Summary:This two-volume set (LNAI 10448 and LNAI 10449) constitutes the refereed proceedings of the 9th International Conference on Collective Intelligence, ICCCI 2017, held in Nicosia, Cyprus, in September 2017. The 117 full papers presented were carefully reviewed and selected from 248 submissions. The conference focuseson the methodology and applications of computational collective intelligence, included: multi-agent systems, knowledge engineering and semantic web, social networks and recommender systems, text processing and information retrieval, data mining methods and applications, sensor networks and internet of things, decision support & control systems, and computer vision techniques.
Other form:Printed edition: 9783319670737
Standard no.:10.1007/978-3-319-67074-4