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Web and Big Data
Details
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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031252006
- Genre Information Technology
- Auflage 1st edition 2023
- Editor Bohan Li, Lin Yue, Toshiyuki Amagasa, Xuming Han, Diego Calvanese, Chuanqi Tao
- Lesemotiv Verstehen
- Anzahl Seiten 484
- Größe H235mm x B155mm x T27mm
- Jahr 2023
- EAN 9783031252006
- Format Kartonierter Einband
- ISBN 3031252004
- Veröffentlichung 10.02.2023
- Titel Web and Big Data
- Untertitel 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part III
- Gewicht 727g
- Herausgeber Springer Nature Switzerland
- Sprache Englisch