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

页码：540 / 542

页数：3

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