Using Feature Selection Algorithms in Educational Data Three Case Studies

被引：0
|
作者：
Marques, M. [1 ]
Nicoletti, M. C. [1 ]
Guimaraes, M. P. [1 ,2 ]
机构：
[1] FACCAMP PMCC, Fac Campo Limpo Paulista, Campo Limpo Paulista, SP, Brazil
[2] Univ Fed Sao Paulo, UNIFESP UAB, Sao Paulo, SP, Brazil
来源：
2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI) | 2017年
关键词：
feature selection algorithms; data minining; component; educational data; MACHINE LEARNING TECHNIQUES; STUDENTS PERFORMANCE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses three case studies involving the use of feature subset selection algorithms, as well as feature ranking, based on real data on student performances in a course of a Bachelor of Computer Science program. The case studies aimed at investigating, as a step prior to the use of data mining algorithms for performance prediction, the effectiveness of feature selection methods, for reducing data volume.
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页数：6
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