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Advances in Intelligent Data and Information Processing : Proceedings of the International Conference on Intelligent Data and Information Processing (IDIP2025), Volume 2 / edited by Witold Pedrycz, John Wang, Kuo-Kun Tseng, Xilong Qu.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Pedrycz, Witold.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1808
- Language:
- English
- Subjects (All):
- Engineering--Data processing.
- Engineering.
- Computational intelligence.
- Artificial intelligence.
- Data Engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Local Subjects:
- Data Engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (418 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- 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.
- Contents:
- Application of Fused Neural Network Model in English Sentiment Analysis
- Research on Prediction of Housing Security Demand Based on Big Data and its Impact on Policy Making
- Deep Learning Model Optimization for Natural Language Processing
- Early Warning Model Construction of Enterprise Financial Crisis Based on Random Forest Algorithm, etc.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-16702-7
- 9783032167026
- OCLC:
- 1581079552
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