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Web and Big Data : 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28–30, 2025, Proceedings, Part I / / edited by Jiajia Li, Richard Chbeir, Lei Li, Chuanyu Zong, Yanfeng Zhang, Mengxuan Zhang



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Autore: Li Jiajia Visualizza persona
Titolo: Web and Big Data : 9th International Joint Conference, APWeb-WAIM 2025, Shenyang, China, August 28–30, 2025, Proceedings, Part I / / edited by Jiajia Li, Richard Chbeir, Lei Li, Chuanyu Zong, Yanfeng Zhang, Mengxuan Zhang Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026
Edizione: 1st ed. 2026.
Descrizione fisica: 1 online resource (1145 pages)
Disciplina: 005.73
003.54
Soggetto topico: 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
Big Data
Altri autori: Li  
Sommario/riassunto: The four-volume set LNCS constitutes the refereed proceedings of the 9th International Joint Conference on Web and Big Data, APWeb-WAIM 2025, held in Shenyang, China, during August 28–30, 2025. The 136 full papers and 15 short papers presented in these proceedings were carefully reviewed and selected from 472 submissions. The papers are organized in the following topical sections: Part I: Data Mining I; Machine Learning I; Information Retrieval and Knowledge Management I; Graph Data Management andAnalytics I; Complex Data Management. Part II: Complex Data Management; Spatial and Temporal Data Management; Data Privacy and Trusted AI; Data Management on New Hardwares; Query Processing and Optimization; Data Mining II. Part III: Data Mining II; Machine Learning II; Information Retrieval and Knowledge Management II; Graph Data Management andAnalytics II; Big Data Management. Part IV: Big Data Management; LLM for Data Management; Information Retrieval; Demonstration Paper; Industry Paper.
Titolo autorizzato: Web and Big Data  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996706481803316
Lo trovi qui: Univ. di Salerno
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 16113