Advances in Computational Collective Intelligence
12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings
Editors: Hernes, Marcin, Wojtkiewicz, Krystian, Szczerbicki, Edward (Eds.)
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- About this book
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This book constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November – December 2020. Due to the the COVID-19 pandemic the conference was held online.
The 68 papers were thoroughly reviewed and selected from 314 submissions. The papers are organized according to the following topical sections: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision support and control systems; intelligent management information systems; innovations in intelligent systems; intelligent modeling and simulation approaches for games and real world systems; experience enhanced intelligence to IoT; data driven IoT for smart society; applications of collective intelligence; natural language processing; low resource languages processing; computational collective intelligence and natural language processing.
- Table of contents (66 chapters)
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Rule Induction of Automotive Historic Styles Using Decision Tree Classifier
Pages 3-14
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Deep Learning for Multilingual POS Tagging
Pages 15-24
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Study of Machine Learning Techniques on Accident Data
Pages 25-37
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Soil Analysis and Unconfined Compression Test Study Using Data Mining Techniques
Pages 38-48
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Self-sorting of Solid Waste Using Machine Learning
Pages 49-60
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Table of contents (66 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Advances in Computational Collective Intelligence
- Book Subtitle
- 12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 – December 3, 2020, Proceedings
- Editors
-
- Marcin Hernes
- Krystian Wojtkiewicz
- Edward Szczerbicki
- Series Title
- Communications in Computer and Information Science
- Series Volume
- 1287
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-63119-2
- DOI
- 10.1007/978-3-030-63119-2
- Softcover ISBN
- 978-3-030-63118-5
- Series ISSN
- 1865-0929
- Edition Number
- 1
- Number of Pages
- XXIX, 823
- Number of Illustrations
- 108 b/w illustrations, 240 illustrations in colour
- Topics
