Machine-learning techniques in economics: new tools for predicting economic growth
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
[2017]
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Schriftenreihe: | SpringerBriefs in Economics
|
Schlagworte: | |
Online-Zugang: | BTU01 FAB01 FHA01 FHI01 FHM01 FHN01 FHO01 FHR01 FKE01 FNU01 FRO01 FWS01 FWS02 HTW01 HWR01 UBG01 UBM01 UBT01 UBY01 UEI01 UER01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource (vi, 91 Seiten) Illustrationen |
ISBN: | 9783319690148 |
DOI: | 10.1007/978-3-319-69014-8 |
Internformat
MARC
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Datensatz im Suchindex
DE-BY-FWS_katkey | 676243 |
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any_adam_object | |
author | Basuchoudhary, Atin Bang, James T. 1976- Sen, Tinni |
author_GND | (DE-588)171818024 (DE-588)140627537 (DE-588)115157810X |
author_facet | Basuchoudhary, Atin Bang, James T. 1976- Sen, Tinni |
author_role | aut aut aut |
author_sort | Basuchoudhary, Atin |
author_variant | a b ab j t b jt jtb t s ts |
building | Verbundindex |
bvnumber | BV044702319 |
collection | ZDB-2-ECF |
ctrlnum | (ZDB-2-ECF)9783319690148 (OCoLC)1018469397 (DE-599)BVBBV044702319 |
dewey-full | 338.9 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 338 - Production |
dewey-raw | 338.9 |
dewey-search | 338.9 |
dewey-sort | 3338.9 |
dewey-tens | 330 - Economics |
discipline | Wirtschaftswissenschaften |
doi_str_mv | 10.1007/978-3-319-69014-8 |
format | Electronic eBook |
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open_access_boolean | |
owner | DE-19 DE-BY-UBM DE-83 DE-1043 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-1051 DE-862 DE-BY-FWS DE-92 DE-824 DE-2070s DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 |
owner_facet | DE-19 DE-BY-UBM DE-83 DE-1043 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-1051 DE-862 DE-BY-FWS DE-92 DE-824 DE-2070s DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 |
physical | 1 Online-Ressource (vi, 91 Seiten) Illustrationen |
psigel | ZDB-2-ECF ZDB-2-ECF_2017 |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | Springer |
record_format | marc |
series2 | SpringerBriefs in Economics |
spellingShingle | Basuchoudhary, Atin Bang, James T. 1976- Sen, Tinni Machine-learning techniques in economics new tools for predicting economic growth Data mining Application software Econometrics Game theory Economic growth Economics Economic Growth Data Mining and Knowledge Discovery Game Theory Computer Appl. in Social and Behavioral Sciences Prognoseverfahren (DE-588)4358095-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Wirtschaftswachstum (DE-588)4066527-6 gnd |
subject_GND | (DE-588)4358095-6 (DE-588)4193754-5 (DE-588)4066527-6 |
title | Machine-learning techniques in economics new tools for predicting economic growth |
title_auth | Machine-learning techniques in economics new tools for predicting economic growth |
title_exact_search | Machine-learning techniques in economics new tools for predicting economic growth |
title_full | Machine-learning techniques in economics new tools for predicting economic growth Atin Basuchoudhary, James T. Bang, Tinni Sen |
title_fullStr | Machine-learning techniques in economics new tools for predicting economic growth Atin Basuchoudhary, James T. Bang, Tinni Sen |
title_full_unstemmed | Machine-learning techniques in economics new tools for predicting economic growth Atin Basuchoudhary, James T. Bang, Tinni Sen |
title_short | Machine-learning techniques in economics |
title_sort | machine learning techniques in economics new tools for predicting economic growth |
title_sub | new tools for predicting economic growth |
topic | Data mining Application software Econometrics Game theory Economic growth Economics Economic Growth Data Mining and Knowledge Discovery Game Theory Computer Appl. in Social and Behavioral Sciences Prognoseverfahren (DE-588)4358095-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Wirtschaftswachstum (DE-588)4066527-6 gnd |
topic_facet | Data mining Application software Econometrics Game theory Economic growth Economics Economic Growth Data Mining and Knowledge Discovery Game Theory Computer Appl. in Social and Behavioral Sciences Prognoseverfahren Maschinelles Lernen Wirtschaftswachstum |
url | https://doi.org/10.1007/978-3-319-69014-8 |
work_keys_str_mv | AT basuchoudharyatin machinelearningtechniquesineconomicsnewtoolsforpredictingeconomicgrowth AT bangjamest machinelearningtechniquesineconomicsnewtoolsforpredictingeconomicgrowth AT sentinni machinelearningtechniquesineconomicsnewtoolsforpredictingeconomicgrowth |