Verfügbarkeit: Privacy Preservation in IoT: Machine Learning Approaches

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Bibliographische Detailangaben
Beteiligte Personen:	Qu, Youyang (VerfasserIn), Gao, Longxiang (VerfasserIn), Yu, Shui (VerfasserIn), Xiang, Yong (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 2022 Singapore Springer
Ausgabe:	1st ed. 2022
Schriftenreihe:	SpringerBriefs in Computer Science
Schlagwörter:	Privacy Machine Learning Internet of Things Big Data Data Mining and Knowledge Discovery Data Science Data protection—Law and legislation Machine learning Internet of things Big data Data mining Artificial intelligence—Data processing
Links:	https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4 https://doi.org/10.1007/978-981-19-1797-4
Umfang:	1 Online-Ressource (XI, 119 p. 39 illus., 36 illus. in color)
ISBN:	9789811917974
ISSN:	2191-5776
DOI:	10.1007/978-981-19-1797-4

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illustrated	Not Illustrated
indexdate	2024-12-20T19:38:41Z
institution	BVB
isbn	9789811917974
issn	2191-5776
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-033595153
oclc_num	1317696289
open_access_boolean
owner	DE-355 DE-BY-UBR DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634
owner_facet	DE-355 DE-BY-UBR DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-824 DE-384 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (XI, 119 p. 39 illus., 36 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2022
publishDate	2022
publishDateSearch	2022
publishDateSort	2022
publisher	Springer Nature Singapore Springer
record_format	marc
series2	SpringerBriefs in Computer Science
spellingShingle	Qu, Youyang Gao, Longxiang Yu, Shui Xiang, Yong Privacy Preservation in IoT: Machine Learning Approaches A Comprehensive Survey and Use Cases Privacy Machine Learning Internet of Things Big Data Data Mining and Knowledge Discovery Data Science Data protection—Law and legislation Machine learning Internet of things Big data Data mining Artificial intelligence—Data processing
title	Privacy Preservation in IoT: Machine Learning Approaches A Comprehensive Survey and Use Cases
title_auth	Privacy Preservation in IoT: Machine Learning Approaches A Comprehensive Survey and Use Cases
title_exact_search	Privacy Preservation in IoT: Machine Learning Approaches A Comprehensive Survey and Use Cases
title_full	Privacy Preservation in IoT: Machine Learning Approaches A Comprehensive Survey and Use Cases by Youyang Qu, Longxiang Gao, Shui Yu, Yong Xiang
title_fullStr	Privacy Preservation in IoT: Machine Learning Approaches A Comprehensive Survey and Use Cases by Youyang Qu, Longxiang Gao, Shui Yu, Yong Xiang
title_full_unstemmed	Privacy Preservation in IoT: Machine Learning Approaches A Comprehensive Survey and Use Cases by Youyang Qu, Longxiang Gao, Shui Yu, Yong Xiang
title_short	Privacy Preservation in IoT: Machine Learning Approaches
title_sort	privacy preservation in iot machine learning approaches a comprehensive survey and use cases
title_sub	A Comprehensive Survey and Use Cases
topic	Privacy Machine Learning Internet of Things Big Data Data Mining and Knowledge Discovery Data Science Data protection—Law and legislation Machine learning Internet of things Big data Data mining Artificial intelligence—Data processing
topic_facet	Privacy Machine Learning Internet of Things Big Data Data Mining and Knowledge Discovery Data Science Data protection—Law and legislation Machine learning Internet of things Big data Data mining Artificial intelligence—Data processing
url	https://doi.org/10.1007/978-981-19-1797-4
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