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Web and Big Data -

Web and Big Data

6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25–27, 2022, Proceedings, Part III
Buch | Softcover
XVIII, 466 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
9783031252006 (ISBN)
CHF 119,80 inkl. MwSt
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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.

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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XVIII, 466 p. 158 illus., 130 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 735 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Schlagworte Artificial Intelligence • Big Data Analytic • Computer Hardware • Computer Networks • Computer Science • Computer Security • Computer systems • Data Mining • Education • Engineering • Information Retrieval • Internet • Knowledge graph • learning • machine learning • Mathematics • Network Protocols • privacy • query processing • Recommendation • Recommender Systems • Signal Processing • Telecommunication Systems
ISBN-13 9783031252006 / 9783031252006
Zustand Neuware
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