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Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017, Proceedings, Part I (Paperback, 1st ed. 2017) Loot Price: R3,313
Discovery Miles 33 130
Repayment Terms: R310 pm x 12*
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Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017,...

Computational Collective Intelligence - 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017, Proceedings, Part I (Paperback, 1st ed. 2017)

Ngoc Thanh Nguyen, George A Papadopoulos, Piotr Jedrzejowicz, Bogdan Trawinski, Gottfried Vossen

Series: Lecture Notes in Computer Science, 10448

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Loot Price R3,313 Discovery Miles 33 130 | Repayment Terms: R310 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 10448
Release date: September 2017
First published: 2017
Editors: Ngoc Thanh Nguyen • George A Papadopoulos • Piotr Jedrzejowicz • Bogdan Trawinski • Gottfried Vossen
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 592
Edition: 1st ed. 2017
ISBN-13: 978-3-319-67073-7
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-319-67073-5
Barcode: 9783319670737

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