Advances in Intelligent Data and Information Processing

Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 1

332 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Lecture Notes in Networks and Systems
• Themen: Informatik und Informationstechnologie Datenbanken / Datenmanagement
• ISBN: 9783032167040
• Sprache: Englisch
• Erscheinungsdatum: 07.04.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Witold Pedrycz, John Wang, Kuo-Kun Tseng, Xilong Qu