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商品詳細
Advances in Intelligent Data and Information Processing: Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 1.
・ISBN 978-3-032-16704-0 paper EUR 199.99
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★★★
| 著者・編者 | Pedrycz, Witold / Wang, John / Tseng, Kuo-Kun / Qu, Xilong (eds.), |
|---|---|
| シリーズ | (Lecture Notes in Networks and Systems) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 332 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-17182＞ |
解説
This book integrates practical engineering insights with cutting-edge AI/ML methodologies to address real-world intelligent data processing challenges, prioritizing actionable solutions over theoretical abstraction. By bridging algorithmic foundations with industry-specific use cases, it equips readers to translate technical concepts into deployable systems efficiently.
Unlike traditional texts that silo theory and practice, this approach embeds hands-on implementation frameworks, including data preprocessing pipelines, model optimization techniques, and scalability strategies, directly within contextualized problem-solving scenarios. Covering core topics from edge AI deployment to large-scale data analytics, it spans both foundational principles and emerging trends like federated learning and real-time processing. Tailored for IT professionals, computer science practitioners, and engineering researchers, it also serves as a valuable resource for graduate students specializing in data science or intelligent systems. Ideal for upskilling, project reference, or curriculum supplementation, it empowers readers to tackle complex data-intensive tasks with confidence in academic, corporate, or R&D settings.