Web and Big Data : 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25–27, 2022, Proceedings, Part II / / edited by Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa

• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (570 pages)
• Disciplina: 005.365; 005.7
• Soggetto topico: Big data; Computer science - Mathematics; Discrete mathematics; Mathematical statistics; Image processing - Digital techniques; Computer vision; Natural language processing (Computer science); Data mining; Big Data; Discrete Mathematics in Computer Science; Probability and Statistics in Computer Science; Computer Imaging, Vision, Pattern Recognition and Graphics; Natural Language Processing (NLP); Data Mining and Knowledge Discovery
• Persona (resp. second.): LiBohan
• Nota di bibliografia: Includes bibliographical references and 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: 9783031251986; 3031251989
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910659488603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13422