Dış ticaret verileri için kümeleme analizi: Türkiye, Azerbaycan ve Kazakistan örneği
dc.authorid | 0000-0002-8983-118X | en_US |
dc.authorid | 0000-0003-0356-7443 | en_US |
dc.contributor.author | Çılgın, Cihan | |
dc.contributor.author | Kurt, Aslı Seda | |
dc.date.accessioned | 2023-05-30T12:35:14Z | |
dc.date.available | 2023-05-30T12:35:14Z | |
dc.date.issued | 2021 | en_US |
dc.department | BAİBÜ, Gerede Uygulamalı Bilimler Fakültesi, Yönetim Bilişim Sistemleri Bölümü | en_US |
dc.description.abstract | Foreign trade is one of the most critical sources of welfare. Factors such as population, per capita income, and the distance between countries is among the crucial determinants of foreign trade. This paper aims to cluster the data set regarding the export and import of Turkey and Turkic Republics by considering other determinants of foreign trade for 2017. In this study, Kazakhstan and Azerbaijan, of which data sets are available, are considered, and Turkey. For this paper, K-means, Ward hierarchical clustering, and self-organizing maps are used. The findings of this paper present detailed evidence as to the export and import of the countries handled. | en_US |
dc.identifier.citation | Çılgın, C. & Kurt, A. S. (2021). Dış Ticaret Verileri İçin Kümeleme Analizi: Türkiye, Azerbaycan ve Kazakistan Örneği. Sosyoekonomi, 29 (48) , 511-540 . DOI: 10.17233/sosyoekonomi.2021.02.24 | en_US |
dc.identifier.doi | 10.17233/sosyoekonomi.2021.02.24 | |
dc.identifier.endpage | 540 | en_US |
dc.identifier.issn | 1305-5577 | |
dc.identifier.issue | 48 | en_US |
dc.identifier.scopus | 2-s2.0-85191945869 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 511 | en_US |
dc.identifier.trdizinid | 450436 | en_US |
dc.identifier.uri | http://dx.doi.org/10.17233/sosyoekonomi.2021.02.24 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12491/11003 | |
dc.identifier.volume | 29 | en_US |
dc.identifier.wos | WOS:000646172500025 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | TR-Dizin | en_US |
dc.institutionauthor | Çılgın, Cihan | |
dc.language.iso | tr | en_US |
dc.publisher | SOSYOEKONOMİ SOC | en_US |
dc.relation.ispartof | Sosyoekonomi | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Foreign Trade | en_US |
dc.subject | Clustering | en_US |
dc.subject | K-Means | en_US |
dc.subject | Algorithm | en_US |
dc.subject | Map | en_US |
dc.subject | Countries | en_US |
dc.title | Dış ticaret verileri için kümeleme analizi: Türkiye, Azerbaycan ve Kazakistan örneği | en_US |
dc.title.alternative | Cluster analysis for foreign trade data: The case of Turkey, Azerbaijan, and Kazakhstan | en_US |
dc.type | Article | en_US |