• DocumentCode
    1830223
  • Title

    The Determination of Socio-economic Factors Affecting Student Success by Data Mining Methods

  • Author

    Atalay, Veli ; Ustun, Suleyman ; Bulbul, Selin

  • Author_Institution
    Inst. of Informatic, Gazi Univ., Ankara, Turkey
  • Volume
    2
  • fYear
    2013
  • fDate
    4-7 Dec. 2013
  • Firstpage
    540
  • Lastpage
    542
  • 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.
  • Keywords
    data mining; decision trees; socio-economic effects; statistical testing; chi-square test; data mining method; decision tree; female students; socio-economic factors determination; student potential; student success; Cities and towns; Data mining; Decision trees; Economics; Educational institutions; Heating; Data Mining; Decision Tree; IBM Moduler; Navie Bayes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications (ICMLA), 2013 12th International Conference on
  • Conference_Location
    Miami, FL
  • Type

    conf

  • DOI
    10.1109/ICMLA.2013.174
  • Filename
    6786167