Predictive Analytics in Cloud, Fog, and Edge Computing: Perspectives and Practices of Blockchain, IoT, and 5G
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2023
Cham Springer |
| Ausgabe: | 1st ed. 2023 |
| Schlagworte: | |
| Online-Zugang: | DE-522 DE-634 DE-858 DE-Aug4 DE-1050 DE-573 DE-M347 DE-92 DE-898 DE-859 DE-860 DE-1049 DE-861 DE-863 DE-862 DE-523 DE-384 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 Volltext |
| Beschreibung: | 1 Online-Ressource (X, 248 p) |
| ISBN: | 9783031180347 |
| DOI: | 10.1007/978-3-031-18034-7 |
Internformat
MARC
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| 245 | 1 | 0 | |a Predictive Analytics in Cloud, Fog, and Edge Computing |b Perspectives and Practices of Blockchain, IoT, and 5G |c edited by Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli |
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Datensatz im Suchindex
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| building | Verbundindex |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-3-031-18034-7 |
| edition | 1st ed. 2023 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:17:07Z |
| indexdate | 2024-08-05T08:38:47Z |
| institution | BVB |
| isbn | 9783031180347 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034013822 |
| oclc_num | 1357529407 |
| open_access_boolean | |
| owner | DE-522 DE-858 DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 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-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| owner_facet | DE-522 DE-858 DE-860 DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-188 DE-523 DE-1049 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-355 DE-BY-UBR DE-824 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634 |
| physical | 1 Online-Ressource (X, 248 p) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2023 ZDB-2-SCS FHM_PDA_SCS_Kauf |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| spellingShingle | Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G Cloud Computing Blockchain Machine Learning Blockchains (Databases) Machine learning |
| title | Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G |
| title_auth | Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G |
| title_exact_search | Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G |
| title_exact_search_txtP | Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G |
| title_full | Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G edited by Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli |
| title_fullStr | Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G edited by Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli |
| title_full_unstemmed | Predictive Analytics in Cloud, Fog, and Edge Computing Perspectives and Practices of Blockchain, IoT, and 5G edited by Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli |
| title_short | Predictive Analytics in Cloud, Fog, and Edge Computing |
| title_sort | predictive analytics in cloud fog and edge computing perspectives and practices of blockchain iot and 5g |
| title_sub | Perspectives and Practices of Blockchain, IoT, and 5G |
| topic | Cloud Computing Blockchain Machine Learning Blockchains (Databases) Machine learning |
| topic_facet | Cloud Computing Blockchain Machine Learning Blockchains (Databases) Machine learning |
| url | https://doi.org/10.1007/978-3-031-18034-7 |
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