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Intelligent Data Engineering and Automated Learning - IDEAL 2020: 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part II. 1st ed. 2020
・ISBN 978-3-030-62364-7 paper EUR 99.99
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| 著者・編者 | Analide, Cesar / Novais, Paulo / Camacho, David / Yin, Hujun (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Computer Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 624 pp. |
| 言語 | ENG |
| ニュース番号 | <A01-77181> |
解説
The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.
* The conference was held virtually due to the COVID-19 pandemic.