A data mining approach to predict failures in banking sector
dc.contributor.advisor | Başak, Sıdıka Melek | |
dc.contributor.author | Toktaş, Peral | |
dc.date.accessioned | 2020-12-29T06:48:06Z | |
dc.date.available | 2020-12-29T06:48:06Z | |
dc.date.submitted | 2004 | |
dc.date.issued | 2018-08-06 | |
dc.identifier.uri | https://acikbilim.yok.gov.tr/handle/20.500.12812/339250 | |
dc.description.abstract | ||
dc.description.abstract | en_US | |
dc.language | English | |
dc.language.iso | en | |
dc.rights | info:eu-repo/semantics/embargoedAccess | |
dc.rights | Attribution 4.0 United States | tr_TR |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Mühendislik Bilimleri | tr_TR |
dc.subject | Engineering Sciences | en_US |
dc.title | A data mining approach to predict failures in banking sector | |
dc.type | masterThesis | |
dc.date.updated | 2018-08-06 | |
dc.contributor.department | Sistem ve Kontrol Mühendisliği Anabilim Dalı | |
dc.identifier.yokid | 167812 | |
dc.publisher.institute | Fen Bilimleri Enstitüsü | |
dc.publisher.university | YEDİTEPE ÜNİVERSİTESİ | |
dc.identifier.thesisid | 150924 | |
dc.description.pages | 262 | |
dc.publisher.discipline | Diğer |