Predictive Models for Decision Support in the COVID-19 Crisis:
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2021
Cham Springer |
| Ausgabe: | 1st ed. 2021 |
| Schriftenreihe: | SpringerBriefs in Applied Sciences and Technology
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FAB01 FAW01 FCO01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBY01 UER01 Volltext |
| Beschreibung: | 1 Online-Ressource (VII, 98 p. 48 illus., 41 illus. in color) |
| ISBN: | 9783030619138 |
| ISSN: | 2191-530X |
| DOI: | 10.1007/978-3-030-61913-8 |
Internformat
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Datensatz im Suchindex
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| author | Marques, Joao Alexandre Lobo Gois, Francisco Nauber Bernardo Xavier-Neto, José Fong, Simon James |
| author_facet | Marques, Joao Alexandre Lobo Gois, Francisco Nauber Bernardo Xavier-Neto, José Fong, Simon James |
| author_role | aut aut aut aut |
| author_sort | Marques, Joao Alexandre Lobo |
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| discipline | Elektrotechnik Wirtschaftswissenschaften Maschinenbau |
| discipline_str_mv | Elektrotechnik Wirtschaftswissenschaften Maschinenbau |
| doi_str_mv | 10.1007/978-3-030-61913-8 |
| edition | 1st ed. 2021 |
| format | Electronic eBook |
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| id | DE-604.BV047047737 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:07:24Z |
| indexdate | 2024-08-01T15:58:49Z |
| institution | BVB |
| isbn | 9783030619138 |
| issn | 2191-530X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032455139 |
| oclc_num | 1226706960 |
| open_access_boolean | |
| owner | DE-859 DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-29 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-573 DE-M347 DE-706 DE-634 DE-858 |
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| physical | 1 Online-Ressource (VII, 98 p. 48 illus., 41 illus. in color) |
| psigel | ZDB-2-ENG ZDB-2-ENG_2021_Fremddaten |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Springer International Publishing Springer |
| record_format | marc |
| series2 | SpringerBriefs in Applied Sciences and Technology |
| spellingShingle | Marques, Joao Alexandre Lobo Gois, Francisco Nauber Bernardo Xavier-Neto, José Fong, Simon James Predictive Models for Decision Support in the COVID-19 Crisis Engineering Economics, Organization, Logistics, Marketing Epidemiology Operations Research/Decision Theory Data Mining and Knowledge Discovery Health Promotion and Disease Prevention Engineering economics Engineering economy Operations research Decision making Data mining Health promotion |
| title | Predictive Models for Decision Support in the COVID-19 Crisis |
| title_auth | Predictive Models for Decision Support in the COVID-19 Crisis |
| title_exact_search | Predictive Models for Decision Support in the COVID-19 Crisis |
| title_exact_search_txtP | Predictive Models for Decision Support in the COVID-19 Crisis |
| title_full | Predictive Models for Decision Support in the COVID-19 Crisis by Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James Fong |
| title_fullStr | Predictive Models for Decision Support in the COVID-19 Crisis by Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James Fong |
| title_full_unstemmed | Predictive Models for Decision Support in the COVID-19 Crisis by Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James Fong |
| title_short | Predictive Models for Decision Support in the COVID-19 Crisis |
| title_sort | predictive models for decision support in the covid 19 crisis |
| topic | Engineering Economics, Organization, Logistics, Marketing Epidemiology Operations Research/Decision Theory Data Mining and Knowledge Discovery Health Promotion and Disease Prevention Engineering economics Engineering economy Operations research Decision making Data mining Health promotion |
| topic_facet | Engineering Economics, Organization, Logistics, Marketing Epidemiology Operations Research/Decision Theory Data Mining and Knowledge Discovery Health Promotion and Disease Prevention Engineering economics Engineering economy Operations research Decision making Data mining Health promotion |
| url | https://doi.org/10.1007/978-3-030-61913-8 |
| work_keys_str_mv | AT marquesjoaoalexandrelobo predictivemodelsfordecisionsupportinthecovid19crisis AT goisfrancisconauberbernardo predictivemodelsfordecisionsupportinthecovid19crisis AT xaviernetojose predictivemodelsfordecisionsupportinthecovid19crisis AT fongsimonjames predictivemodelsfordecisionsupportinthecovid19crisis |