Predictive Models for Decision Support in the COVID-19 Crisis:
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Datensatz im Suchindex
| DE-BY-TUM_katkey | 2513991 |
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| _version_ | 1821933299138822144 |
| any_adam_object | |
| 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 |
| author_variant | j a l m jal jalm f n b g fnb fnbg j x n jxn s j f sj sjf |
| building | Verbundindex |
| bvnumber | BV047047737 |
| classification_tum | ELT 000 MAS 000 |
| collection | ZDB-2-ENG |
| ctrlnum | (ZDB-2-ENG)9783030619138 (OCoLC)1226706960 (DE-599)BVBBV047047737 |
| dewey-full | 658.5 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5 |
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| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Maschinenbau / Maschinenwesen Elektrotechnik / Elektronik / Nachrichtentechnik Wirtschaftswissenschaften |
| 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 |
| indexdate | 2024-12-20T19:08:16Z |
| 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_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 |
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