Big Data – BigData 2024 : 13th International Conference, Held as Part of the Services Conference Federation, SCF 2024, Bangkok, Thailand, November 16-19, 2024, Proceedings / / edited by Yong Zhang, Ting Cai, Liang-Jie Zhang

• Autore: Zhang Yong
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (145 pages)
• Disciplina: 005.7
• Soggetto topico: Big data; Computer engineering; Computer networks; Artificial intelligence; Big Data; Computer Engineering and Networks; Artificial Intelligence
• Altri autori: CaiTing ZhangLiang-Jie
• Nota di contenuto: -- Research Track. -- How Effective are Time Series Models for Pandemic Forecasting?. -- Research on Public Data Assets Valuation Combined With Expert Scoring Method. -- Cross-Chain Analysis of Blockchain-Based Pharmaceutical Supply Chain Management Using NFTs. -- A study of the impact of networked low-altitude drone operations on the performance of big data services. -- Anti-Third-Party Infringement Based on the Perspective of Data Resource Holding Rights. -- Application Track. -- Defect Detection Network for TOPCon Solar Cells Based on Improved YOLOv5 and CBAM Mechanism. -- 5 Steps for Enterprise Artificial Intelligence Governance and Compliance. -- Enhancing Transparency and Efficiency in Energy Trading Management Systems for Electric Vehicles: The Role of Blockchain, IPFS, and NFTs. -- Short Paper Track. -- A Model of Big Data Analytics Applied to Teacher Evaluation Based on Enhanced Data Quality.
• Sommario/riassunto: This book constitutes the refereed proceedings of the 13th International Conference on Big Data, BigData 2024, held as part of the Services Conference Federation, SCF 2024, in Bangkok, Thailand, during November 16-19, 2024. The 8 full papers and 1 short paper included in this book were carefully reviewed and selected from 21 submissions. They focus on various topics within the field of Data-based services such as Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions. The papers have been organized under the following topical sections: Research track; Application track; and Short paper track.
• Titolo autorizzato: Big Data – BigData 2024
• ISBN: 9783031770883; 3031770889
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996630863503316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15422