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.

引用

页数：6

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