Overview
Part of the book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 392)
Included in the following conference series:
Conference proceedings info: BigIoT-EDU 2021.
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Table of contents (79 papers)
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Applications of Big Data and Cloud Computing
Other volumes
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Application of Big Data, Blockchain, and Internet of Things for Education Informatization
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Application of Big Data, Blockchain, and Internet of Things for Education Informatization
Keywords
- artificial intelligence
- big data
- computer hardware
- computer networks
- computer science
- computer systems
- curricula
- data analytics
- data mining
- databases
- digital storage
- education
- engineering
- information management
- information systems
- information technology
- internet
- mathematics
- teaching practices
- university
About this book
The 99 revised full papers and 45 short papers have been selected from 503 submissions. The papers describe research fields such as “big data” and “information education”. The aim of the conference is to provide international cooperation and exchange platforms 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.
Editors and Affiliations
Bibliographic Information
Book Title: Application of Big Data, Blockchain, and Internet of Things for Education Informatization
Book Subtitle: First EAI International Conference, BigIoT-EDU 2021, Virtual Event, August 1–3, 2021, Proceedings, Part II
Editors: Mian Ahmad Jan, Fazlullah Khan
Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
DOI: https://doi.org/10.1007/978-3-030-87903-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2021
Softcover ISBN: 978-3-030-87902-0Published: 13 October 2021
eBook ISBN: 978-3-030-87903-7Published: 12 October 2021
Series ISSN: 1867-8211
Series E-ISSN: 1867-822X
Edition Number: 1
Number of Pages: XXVI, 673
Number of Illustrations: 81 b/w illustrations, 128 illustrations in colour
Topics: Computer Applications, Artificial Intelligence, Computer Communication Networks, Data Mining and Knowledge Discovery, Data Structures and Information Theory