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

被引：1
|
作者：
Atalay, Veli [1 ]
Ustun, Suleyman [2 ]
Bulbul, Selin [3 ]
机构：
[1] Gazi Univ, Inst Informat, Ankara, Turkey
[2] Minist Educ, Mimar Sinan Vocat High Sch, Izmir, Turkey
[3] Cankaya Univ, Dept Business Adm, Ankara, Turkey
来源：
2013 12TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2013), VOL 2 | 2013年
关键词：
Data Mining; Decision Tree; IBM Moduler; Navie Bayes;
D O I：
10.1109/ICMLA.2013.174
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：540 / 542
页数：3
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