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
Link To Document :
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