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

Atalay V., Ustun S., Bulbul S.

12th International Conference on Machine Learning and Applications (ICMLA), Florida, Amerika Birleşik Devletleri, 4 - 07 Aralık 2013, ss.540-542 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/icmla.2013.174
  • Basıldığı Şehir: Florida
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.540-542


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.