Advances in Intelligent Data and Information Processing Volume 1: Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025)
Witold Pedrycz (editor-in-chief), John Wang (editor-in-chief), Kuo-Kun Tseng (editor-in-chief), Xilong Qu (editor-in-chief)
Paperback Published on: 07/04/2026
Price: £179.99
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Synopsis
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.
Publisher information
- Publisher: Springer Nature Switzerland
- ISBN: 9783032167040
- Number of pages: 332
- Dimensions: 235 x 155 x 235 mm
- Weight: 523g
- Languages: English