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The Determination of Socio-Economic Factors Affecting Student Success By Data Mining Methods

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dc.contributor.author Atalay, Veli
dc.contributor.author Üstün, Süleyman
dc.contributor.author Bülbül, Selin
dc.date.accessioned 2020-04-17T21:02:16Z
dc.date.available 2020-04-17T21:02:16Z
dc.date.issued 2013
dc.identifier.citation Atalay, Veli; Ustun, Suleyman; Bulbul, Selin, "The Determination Of Socio-Economic Factors Affecting Student Success By Data Mining Methods", 2013 12th International Conference On Machine Learning and Applıcations (Icmla 2013), pp. 540-542, (2013). tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/3300
dc.description.abstract The success of socio-economic level on students is a fact. The economic level and conditions combined with the student's potential make itself felt at the ultimate level. In this research, it was established that success and socio-economic factors which can attract the attention are effectively observed on particularly female students. It was ensured that a real and sound socio-economic criteria for success be determined by evaluating success and failure at terminal points. Decision trees and chi-square test were used in the implementation. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.relation.isversionof 10.1109/ICMLA.2013.174 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Data Mining tr_TR
dc.subject Decision Tree tr_TR
dc.subject IBM Moduler tr_TR
dc.subject Navie Bayes tr_TR
dc.title The Determination of Socio-Economic Factors Affecting Student Success By Data Mining Methods tr_TR
dc.type workingPaper tr_TR
dc.relation.journal 2013 12th International Conference On Machine Learning and Applıcations (Icmla 2013), Vol 2 tr_TR
dc.identifier.startpage 540 tr_TR
dc.identifier.endpage 542 tr_TR
dc.contributor.department Çankaya Üniversitesi, İktisadi İdari Bilimler Fakültesi, İşletme Bölümü tr_TR


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