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商品詳細
The International Conference on Deep Learning, Big Data and Blockchain (DBB 2022). 1st ed. 2023
・ISBN 978-3-031-16034-9 paper EUR 149.99
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| 著者・編者 | Awan, Irfan / Younas, Muhammad / Bentahar, Jamal / Benbernou, Salima (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Networks and Systems) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2022 |
| ページ数 | 135 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-62323＞ |
解説
Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications.
This event aims to enable synergy between these areas and provide a leading forum for researchers, developers, practitioners, and professionals from public sectors and industries to meet and share the latest solutions and ideas in solving cutting-edge problems in the modern information society and the economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Some of the key topics of interest include (but are not limited to):Deep/Machine learning based models
Statistical models and learning
Data analysis, insights and hidden pattern
Data visualisation
Security threat detection
Data classification and clustering
Blockchain security and trustBlockchain data management