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The  three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29–31, 2022.  The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as “Big Data” and “Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.
ISBN: 9783031239434
Sprache: Englisch
Seitenzahl: 638
Produktart: Kartoniert / Broschiert
Herausgeber: Jan, Mian Ahmad Khan, Fazlullah
Verlag: Springer International Publishing
Veröffentlicht: 12.01.2023
Untertitel: Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part III
Schlagworte: artificial intelligence computer hardware computer networks computer science computer systems correlation analysis curricula databases data mining e-learning