Computational Collective Intelligence - 14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings (Paperback, 1st ed. 2022)


This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.

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Product Description

This book constitutes the refereed proceedings of the 14th International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 56 full papers and 10 short papers were carefully reviewed and selected from 420 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; deep learning techniques; natural language processing; data minning and machine learning; knowledge engineering and semantic web; computer vision techniques; social networks and intelligent systems; cybersecurity and internet of things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; applications for industry 4.0.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Lecture Notes in Computer Science, 13501

Release date

September 2022

Availability

Expected to ship within 12 - 17 working days

First published

2022

Editors

, , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

853

Edition

1st ed. 2022

ISBN-13

978-3-03-116013-4

Barcode

9783031160134

Categories

LSN

3-03-116013-4



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