03516nam 22005655 450 991106601050332120260222120352.03-032-16702-710.1007/978-3-032-16702-6(MiAaPQ)EBC32556478(Au-PeEL)EBL32556478(CKB)45408932200041(DE-He213)978-3-032-16702-6(EXLCZ)994540893220004120260222d2026 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances 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 Qu1st ed. 2026.Cham :Springer Nature Switzerland :Imprint: Springer,2026.1 online resource (418 pages)Lecture Notes in Networks and Systems,2367-3389 ;18083-032-16701-9 -- 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.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.Lecture Notes in Networks and Systems,2367-3389 ;1808EngineeringData processingComputational intelligenceArtificial intelligenceData EngineeringComputational IntelligenceArtificial IntelligenceEngineeringData processing.Computational intelligence.Artificial intelligence.Data Engineering.Computational Intelligence.Artificial Intelligence.620.00285Pedrycz Witold21029MiAaPQMiAaPQMiAaPQBOOK9911066010503321Advances in Intelligent Data and Information Processing4547686UNINA