Eintrag weiter verarbeiten
Wind Turbine Accidents: A Data Mining Study
Gespeichert in:
Zeitschriftentitel: | SSRN Electronic Journal |
---|---|
Personen und Körperschaften: | , , , |
In: | SSRN Electronic Journal, 2018 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Elsevier BV
|
Schlagwörter: |
author_facet |
Ertek, Gurdal Asian, Sobhan Pakter, Sena Ulun, Soner Ertek, Gurdal Asian, Sobhan Pakter, Sena Ulun, Soner |
---|---|
author |
Ertek, Gurdal Asian, Sobhan Pakter, Sena Ulun, Soner |
spellingShingle |
Ertek, Gurdal Asian, Sobhan Pakter, Sena Ulun, Soner SSRN Electronic Journal Wind Turbine Accidents: A Data Mining Study Pharmacology (medical) |
author_sort |
ertek, gurdal |
spelling |
Ertek, Gurdal Asian, Sobhan Pakter, Sena Ulun, Soner 1556-5068 Elsevier BV Pharmacology (medical) http://dx.doi.org/10.2139/ssrn.3148853 Wind Turbine Accidents: A Data Mining Study SSRN Electronic Journal |
doi_str_mv |
10.2139/ssrn.3148853 |
facet_avail |
Online |
finc_class_facet |
Chemie und Pharmazie |
format |
ElectronicArticle |
fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMjEzOS9zc3JuLjMxNDg4NTM |
id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMjEzOS9zc3JuLjMxNDg4NTM |
institution |
DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 |
imprint |
Elsevier BV, 2018 |
imprint_str_mv |
Elsevier BV, 2018 |
issn |
1556-5068 |
issn_str_mv |
1556-5068 |
language |
English |
mega_collection |
Elsevier BV (CrossRef) |
match_str |
ertek2018windturbineaccidentsadataminingstudy |
publishDateSort |
2018 |
publisher |
Elsevier BV |
recordtype |
ai |
record_format |
ai |
series |
SSRN Electronic Journal |
source_id |
49 |
title |
Wind Turbine Accidents: A Data Mining Study |
title_unstemmed |
Wind Turbine Accidents: A Data Mining Study |
title_full |
Wind Turbine Accidents: A Data Mining Study |
title_fullStr |
Wind Turbine Accidents: A Data Mining Study |
title_full_unstemmed |
Wind Turbine Accidents: A Data Mining Study |
title_short |
Wind Turbine Accidents: A Data Mining Study |
title_sort |
wind turbine accidents: a data mining study |
topic |
Pharmacology (medical) |
url |
http://dx.doi.org/10.2139/ssrn.3148853 |
publishDate |
2018 |
physical |
|
description |
|
container_start_page |
0 |
container_title |
SSRN Electronic Journal |
format_de105 |
Article, E-Article |
format_de14 |
Article, E-Article |
format_de15 |
Article, E-Article |
format_de520 |
Article, E-Article |
format_de540 |
Article, E-Article |
format_dech1 |
Article, E-Article |
format_ded117 |
Article, E-Article |
format_degla1 |
E-Article |
format_del152 |
Buch |
format_del189 |
Article, E-Article |
format_dezi4 |
Article |
format_dezwi2 |
Article, E-Article |
format_finc |
Article, E-Article |
format_nrw |
Article, E-Article |
_version_ |
1792324569164414999 |
geogr_code |
not assigned |
last_indexed |
2024-03-01T11:51:45.932Z |
geogr_code_person |
not assigned |
openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Wind+Turbine+Accidents%3A+A+Data+Mining+Study&rft.date=2018-01-01&genre=article&issn=1556-5068&jtitle=SSRN+Electronic+Journal&atitle=Wind+Turbine+Accidents%3A+A+Data+Mining+Study&aulast=Ulun&aufirst=Soner&rft_id=info%3Adoi%2F10.2139%2Fssrn.3148853&rft.language%5B0%5D=eng |
SOLR | |
_version_ | 1792324569164414999 |
author | Ertek, Gurdal, Asian, Sobhan, Pakter, Sena, Ulun, Soner |
author_facet | Ertek, Gurdal, Asian, Sobhan, Pakter, Sena, Ulun, Soner, Ertek, Gurdal, Asian, Sobhan, Pakter, Sena, Ulun, Soner |
author_sort | ertek, gurdal |
container_start_page | 0 |
container_title | SSRN Electronic Journal |
description | |
doi_str_mv | 10.2139/ssrn.3148853 |
facet_avail | Online |
finc_class_facet | Chemie und Pharmazie |
format | ElectronicArticle |
format_de105 | Article, E-Article |
format_de14 | Article, E-Article |
format_de15 | Article, E-Article |
format_de520 | Article, E-Article |
format_de540 | Article, E-Article |
format_dech1 | Article, E-Article |
format_ded117 | Article, E-Article |
format_degla1 | E-Article |
format_del152 | Buch |
format_del189 | Article, E-Article |
format_dezi4 | Article |
format_dezwi2 | Article, E-Article |
format_finc | Article, E-Article |
format_nrw | Article, E-Article |
geogr_code | not assigned |
geogr_code_person | not assigned |
id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMjEzOS9zc3JuLjMxNDg4NTM |
imprint | Elsevier BV, 2018 |
imprint_str_mv | Elsevier BV, 2018 |
institution | DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
issn | 1556-5068 |
issn_str_mv | 1556-5068 |
language | English |
last_indexed | 2024-03-01T11:51:45.932Z |
match_str | ertek2018windturbineaccidentsadataminingstudy |
mega_collection | Elsevier BV (CrossRef) |
physical | |
publishDate | 2018 |
publishDateSort | 2018 |
publisher | Elsevier BV |
record_format | ai |
recordtype | ai |
series | SSRN Electronic Journal |
source_id | 49 |
spelling | Ertek, Gurdal Asian, Sobhan Pakter, Sena Ulun, Soner 1556-5068 Elsevier BV Pharmacology (medical) http://dx.doi.org/10.2139/ssrn.3148853 Wind Turbine Accidents: A Data Mining Study SSRN Electronic Journal |
spellingShingle | Ertek, Gurdal, Asian, Sobhan, Pakter, Sena, Ulun, Soner, SSRN Electronic Journal, Wind Turbine Accidents: A Data Mining Study, Pharmacology (medical) |
title | Wind Turbine Accidents: A Data Mining Study |
title_full | Wind Turbine Accidents: A Data Mining Study |
title_fullStr | Wind Turbine Accidents: A Data Mining Study |
title_full_unstemmed | Wind Turbine Accidents: A Data Mining Study |
title_short | Wind Turbine Accidents: A Data Mining Study |
title_sort | wind turbine accidents: a data mining study |
title_unstemmed | Wind Turbine Accidents: A Data Mining Study |
topic | Pharmacology (medical) |
url | http://dx.doi.org/10.2139/ssrn.3148853 |