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

This book constitutes refereed proceedings of the 13th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2021, held in  Kallithea, Rhodes, Greece, in October - November 2021. Due to the the COVID-19 pandemic the conference was held online. 
The 44 full papers and 14 short papers were thoroughly reviewed and selected from  231 submissions. The papers are organized according to the following topical sections: social networks and recommender systems; collective decision-making; computer vision techniques; innovations in intelligent systems; cybersecurity intelligent methods; data mining and machine learning; machine learning in real-world data; Internet of Things and computational technologies for collective intelligence; smart industry and management systems; low resource languages processing; computational intelligence for multimedia understanding.

List of contents

Social Networks and Recommender Systems.- Collective Decision-Making.- Computer Vision Techniques.- Innovations in Intelligent Systems.- Cybersecurity Intelligent Methods.- Data Mining and Machine Learning.- Machine Learning in Real-World Data.- Internet of Things and Computational Technologies for Collective Intelligence.- Smart Industry and Management Systems.- Low Resource Languages Processing.- Computational Intelligence for Multimedia Understanding.

Product details

• Assisted by: Marcin Maleszka (Editor), Elias Pimenidis (Editor), Elias Pimenidis et al (Editor), Ja Treur (Editor), Jan Treur (Editor), Krystian Wojtkiewicz (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 16.12.2021
• EAN: 9783030881122
• ISBN: 978-3-0-3088112-2
• No. of pages: 729
• Dimensions: 155 mm x 40 mm x 235 mm
• Illustrations: XXXI, 729 p. 273 illus., 217 illus. in color.
• Series: Communications in Computer and Information Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT