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Advances in Intelligent Data and Information Processing

Name: Advances in Intelligent Data and Information Processing
Brand: Springer, Berlin
SKU: 9783032167019
Price: 199.2 EUR
Availability: InStock

Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025). Volume 2

Autor: Witold Pedrycz, John Wang, Kuo-Kun Tseng, Xilong Qu

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer, Berlin

Dostupnosť: Skladom u dodávateľa

Odosielame za 5-8 dní

199.20 €

This book integrates practical engineering insights with cutting-edge AI/ML methodologies to address...

Informácie o knihe

Autor

Witold Pedrycz, John Wang, Kuo-Kun Tseng, Xilong Qu

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2026

Stránok

320

EAN

9783032167019

Enbook ID

50211161

Vydavateľ

Springer, Berlin

Hmotnosť

444

Rozmery

155 x 235

Kompletný popis

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.