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Web and Big Data 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part II /

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024. The 171 full papers presented in these proceedings were carefu...

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Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Zhang, Wenjie (Éditeur intellectuel), Tung, Anthony (Éditeur intellectuel), Zheng, Zhonglong (Éditeur intellectuel), Yang, Zhengyi (Éditeur intellectuel), Wang, Xiaoyang (Éditeur intellectuel), Guo, Hongjie (Éditeur intellectuel)
Format: Électronique eBook
Langue:anglais
Publié: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Édition:1st ed. 2024.
Collection:Lecture Notes in Computer Science, 14962
Sujets:
Big data.
Data structures (Computer science).
Information theory.
Application software.
Image processing > Digital techniques.
Computer vision.
Data mining.
Big Data.
Data Structures and Information Theory.
Computer and Information Systems Applications.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Data Mining and Knowledge Discovery.
Accès en ligne:https://doi.org/10.1007/978-981-97-7235-3
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Résumé:The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Part I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Part II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Part III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Part IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Part V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.
Description matérielle:XVIII, 500 p. 162 illus., 139 illus. in color. online resource.
ISBN:9789819772353
ISSN:1611-3349 ;
DOI:10.1007/978-981-97-7235-3

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