Web and Big Data . Part I : 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings / / Bohan Li [and five others] (editors)

• Pubblicazione: Cham, Switzerland : , : Springer, , [2023]; ©2023
• Edizione: First edition.
• Descrizione fisica: 1 online resource (589 pages)
• Disciplina: 005.1
• Soggetto topico: Application software - Development; Big data; Computer networks - Access control; Computer networks - Management; Database management; World Wide Web - Technological innovations
• Persona (resp. second.): LiBohan
• Note generali: Includes index.
• Nota di contenuto: Research tracks. Big Data Analytic and Management -- Advanced database and web applications -- Cloud Computing and Crowdsourcing -- Data Mining -- Graph Data and Social Networks -- Information Extraction and Retrieval -- Knowledge Graph -- Machine Learning -- Query processing and optimization -- Recommender Systems -- Security, privacy, and trust& Blockchain data management and applications -- Spatial and multi-media data -- Demo papers.
• Sommario/riassunto: This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022. The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.
• Titolo autorizzato: Web and Big Data
• ISBN: 3-031-25158-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910659492303321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture notes in computer science ; ; Volume 13421.