株式会社極東書店トップ ＞ 商品一覧 ＞ Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023, Proceedings. 1st ed. 2023
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Computational Collective Intelligence: 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27-29, 2023, Proceedings. 1st ed. 2023
・ISBN 978-3-031-41455-8 paper EUR 119.99
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| 著者・編者 | Nguyen, Ngoc Thanh / Botzheim, Janos / Gulyas, Laszlo / Nunez, Manuel / Treur, Jan / Vossen, Gottfried / Kozierkiewicz, Adrianna (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2023 |
| ページ数 | 849 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A01-89643＞ |
解説
This book constitutes the refereed proceedings of the 15th International Conference on Computational Collective Intelligence, ICCCI 2023, held in Budapest, Hungary, during September 27-29, 2023.
The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; cybersecurity, blockchain technology and Internet of Things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for Industry 4.0; computational intelligence in medical applications; and ensemble models and data fusion.
The 63 full papers included in this book were carefully reviewed and selected from 218 submissions. They are organized in topical sections as follows: collective intelligence and collective decision-making; deep learning techniques; natural language processing; data mining and machine learning; social networks and intelligent systems; cybersecurity, blockchain technology and Internet of Things; cooperative strategies for decision making and optimization; computational intelligence for digital content understanding; knowledge engineering and application for Industry 4.0; computational intelligence in medical applications; and ensemble models and data fusion.