Fr. 146.00

Computational Collective Intelligence - 13th International Conference, ICCCI 2021, Rhodes, Greece, September 29 - October 1, 2021, Proceedings

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

This book constitutes the refereed proceedings of the 13th International Conference on Computational Collective Intelligence, ICCCI 2021, held in September/October 2021. The conference was held virtually due to the COVID-19 pandemic.
The 58 full papers were carefully reviewed and selected from 230 submissions. The papers are grouped in topical issues on knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; cooperative strategies for decision making and optimization; data mining and machine learning; computer vision techniques; natural language processing; Internet of Things: technologies and applications; Internet of Things and computational technologies for collective intelligence; computational intelligence for multimedia understanding.

Product details

Assisted by Lazaro Iliadis (Editor), Lazaros Iliadis (Editor), Ilias Maglogiannis (Editor), Ilias Maglogiannis et al (Editor), Ngoc Thanh Nguyen (Editor), Ngoc Thanh Nguyen (Editor), Bogdan Trawi¿ski (Editor), Bogdan Trawinski (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.11.2021
 
EAN 9783030880804
ISBN 978-3-0-3088080-4
No. of pages 804
Dimensions 155 mm x 43 mm x 235 mm
Illustrations XXVI, 804 p. 264 illus., 201 illus. in color.
Series Lecture Notes in Computer Science
Lecture Notes in Artificial Intelligence
Subject Natural sciences, medicine, IT, technology > IT, data processing > IT

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.