Classification of Turkish Universities by quantity and titles of Academic Staff

dc.authorid0000-0003-2707-6075en_US
dc.contributor.authorKaşif, Ahmet
dc.contributor.authorBilgin, Turgay Tugay
dc.date.accessioned2021-03-20T20:13:23Z
dc.date.available2021-03-20T20:13:23Z
dc.date.issued2018
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) -- OCT 19-21, 2018 -- Kizilcahamam, TURKEYen_US
dc.description.abstractIn this study, universities are clustered based on the quantity and title of the academics employed by Turkish Universities. The data comes from both state and private universities and vocational schools. For clustering, partitional and hierarchical clustering methods were used. The dataset was obtained from the YOK academic search website using "web scraping" techniques implemented by the authors. Agglomerative clustering technique was found to yield better results regarding cluster sizes and intracluster distances. The Silhouette coefficient is used for clustering quality measurement. As a result of the study, Turkish universities were mainly composed of four clusters. These are instructor dominant universities, just instructor based vocational schools, professor and associate professor dominated universities and research assistant dominated universities. The results of this study may be used for academic staff employment planning in Turkish Universities.en_US
dc.description.sponsorshipIEEE Turkey Sect, Karabuk Univ, Kutahya Dumlupinar Univen_US
dc.identifier.endpage463en_US
dc.identifier.isbn978-1-5386-4184-2
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage460en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/858
dc.identifier.wosWOS:000467794200086en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKaşif, Ahmet
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 2Nd International Symposium On Multidisciplinary Studies And Innovative Technologies (Ismsit)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectweb scrapingen_US
dc.subjectmachine learningen_US
dc.subjectclusteringen_US
dc.subjectemploymenten_US
dc.titleClassification of Turkish Universities by quantity and titles of Academic Staffen_US
dc.typeConference Objecten_US

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