Advances in Intelligent Data and Information Processing: Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 2

Witold Pedrycz (Curatore)

John Wang (Curatore)

Springer Nature Switzerland AG, 2026

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.

• Curatore: Witold Pedrycz, John Wang
• Editore: Springer Nature Switzerland AG
• Collana: Lecture Notes in Networks and Systems
• Anno: 2026
• Rilegatura: Paperback / softback
• Pagine: 304 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783032167019

Testo in English