Erklärung von Emittentenratings von Banken mittels maschinellen Lernens:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | German |
| Veröffentlicht: |
Wiesbaden
Springer Fachmedien Wiesbaden
2023
Wiesbaden Springer Gabler |
| Ausgabe: | 1st ed. 2023 |
| Schriftenreihe: | Business, Economics, and Law
|
| Schlagworte: | |
| Online-Zugang: | ASH01 BFB01 BHS01 BTU01 BTW01 EFN01 FAB01 FAN01 FAW01 FCO01 FFW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHO01 FHR01 FKE01 FLA01 FNU01 FRO01 FWS01 FWS02 HTW01 HWR01 TUM01 UBG01 UBM01 UBT01 UBW01 UBY01 UEI01 UER01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (XIX, 147 S. 96 Abb) |
| ISBN: | 9783658419103 |
| ISSN: | 2625-6967 |
| DOI: | 10.1007/978-3-658-41910-3 |
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Datensatz im Suchindex
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| discipline | Wirtschaftswissenschaften |
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| doi_str_mv | 10.1007/978-3-658-41910-3 |
| edition | 1st ed. 2023 |
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| id | DE-604.BV049083243 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:28:11Z |
| indexdate | 2024-08-01T11:03:46Z |
| institution | BVB |
| isbn | 9783658419103 |
| issn | 2625-6967 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034345125 |
| oclc_num | 1392144730 |
| open_access_boolean | |
| owner | DE-1052 DE-860 DE-19 DE-BY-UBM DE-1028 DE-83 DE-858 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-1049 DE-473 DE-BY-UBG DE-29 DE-20 DE-862 DE-BY-FWS DE-92 DE-522 DE-706 DE-91 DE-BY-TUM DE-B768 DE-188 DE-523 DE-859 DE-1050 DE-863 DE-BY-FWS DE-1051 DE-824 DE-2070s DE-B1533 DE-573 DE-M347 DE-703 DE-1102 DE-739 DE-634 DE-526 DE-11 |
| owner_facet | DE-1052 DE-860 DE-19 DE-BY-UBM DE-1028 DE-83 DE-858 DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-1049 DE-473 DE-BY-UBG DE-29 DE-20 DE-862 DE-BY-FWS DE-92 DE-522 DE-706 DE-91 DE-BY-TUM DE-B768 DE-188 DE-523 DE-859 DE-1050 DE-863 DE-BY-FWS DE-1051 DE-824 DE-2070s DE-B1533 DE-573 DE-M347 DE-703 DE-1102 DE-739 DE-634 DE-526 DE-11 |
| physical | 1 Online-Ressource (XIX, 147 S. 96 Abb) |
| psigel | ZDB-2-SWI ZDB-2-SWI_2023 |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer Fachmedien Wiesbaden Springer Gabler |
| record_format | marc |
| series2 | Business, Economics, and Law |
| spellingShingle | Brendler, Gerrit Erklärung von Emittentenratings von Banken mittels maschinellen Lernens Public Finance Financial Services International Finance Finance, Public Financial services industry International finance |
| title | Erklärung von Emittentenratings von Banken mittels maschinellen Lernens |
| title_auth | Erklärung von Emittentenratings von Banken mittels maschinellen Lernens |
| title_exact_search | Erklärung von Emittentenratings von Banken mittels maschinellen Lernens |
| title_exact_search_txtP | Erklärung von Emittentenratings von Banken mittels maschinellen Lernens |
| title_full | Erklärung von Emittentenratings von Banken mittels maschinellen Lernens von Gerrit Brendler |
| title_fullStr | Erklärung von Emittentenratings von Banken mittels maschinellen Lernens von Gerrit Brendler |
| title_full_unstemmed | Erklärung von Emittentenratings von Banken mittels maschinellen Lernens von Gerrit Brendler |
| title_short | Erklärung von Emittentenratings von Banken mittels maschinellen Lernens |
| title_sort | erklarung von emittentenratings von banken mittels maschinellen lernens |
| topic | Public Finance Financial Services International Finance Finance, Public Financial services industry International finance |
| topic_facet | Public Finance Financial Services International Finance Finance, Public Financial services industry International finance |
| url | https://doi.org/10.1007/978-3-658-41910-3 |
| work_keys_str_mv | AT brendlergerrit erklarungvonemittentenratingsvonbankenmittelsmaschinellenlernens |