Verfügbarkeit: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2

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Bibliographische Detailangaben
Weitere beteiligte Personen:	Macintyre, John (HerausgeberIn), Zhao, Jinghua (HerausgeberIn), Ma, Xiaomeng (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 2022 Cham Springer
Ausgabe:	1st ed. 2022
Schriftenreihe:	Lecture Notes on Data Engineering and Communications Technologies 98
Schlagwörter:	Data Engineering Cyber-physical systems, IoT. Computational Intelligence Big Data Artificial Intelligence Engineering—Data processing Computer engineering Internet of things Embedded computer systems Computational intelligence Big data Artificial intelligence
Links:	https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2 https://doi.org/10.1007/978-3-030-89511-2
Umfang:	1 Online-Ressource (XX, 986 p. 280 illus., 190 illus. in color)
ISBN:	9783030895112
ISSN:	2367-4520
DOI:	10.1007/978-3-030-89511-2

Internformat

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Datensatz im Suchindex

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series2	Lecture Notes on Data Engineering and Communications Technologies
spellingShingle	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy SPIoT-2021 Volume 2 Data Engineering Cyber-physical systems, IoT. Computational Intelligence Big Data Artificial Intelligence Engineering—Data processing Computer engineering Internet of things Embedded computer systems Computational intelligence Big data Artificial intelligence
title	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy SPIoT-2021 Volume 2
title_auth	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy SPIoT-2021 Volume 2
title_exact_search	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy SPIoT-2021 Volume 2
title_full	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy SPIoT-2021 Volume 2 edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
title_fullStr	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy SPIoT-2021 Volume 2 edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
title_full_unstemmed	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy SPIoT-2021 Volume 2 edited by John Macintyre, Jinghua Zhao, Xiaomeng Ma
title_short	The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy
title_sort	the 2021 international conference on machine learning and big data analytics for iot security and privacy spiot 2021 volume 2
title_sub	SPIoT-2021 Volume 2
topic	Data Engineering Cyber-physical systems, IoT. Computational Intelligence Big Data Artificial Intelligence Engineering—Data processing Computer engineering Internet of things Embedded computer systems Computational intelligence Big data Artificial intelligence
topic_facet	Data Engineering Cyber-physical systems, IoT. Computational Intelligence Big Data Artificial Intelligence Engineering—Data processing Computer engineering Internet of things Embedded computer systems Computational intelligence Big data Artificial intelligence
url	https://doi.org/10.1007/978-3-030-89511-2
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