Using Feature Selection Algorithms in Educational Data Three Case Studies

Using Feature Selection Algorithms in Educational Data Three Case Studies

Author Marques, M. Google Scholar
Nicoletti, M. C. Google Scholar
Guimaraes, M. P. Google Scholar
Abstract 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.
Keywords feature selection algorithms
data minining
component
educational data
xmlui.dri2xhtml.METS-1.0.item-coverage New York
Language Portuguese
Date 2017
Published in 2017 12th Iberian Conference On Information Systems And Technologies (Cisti). New York, v. , p. -, 2017.
ISSN 2166-0727 (Sherpa/Romeo, impact factor)
Publisher IEEE
Extent -
Origin https://doi.org/10.23919/CISTI.2017.7975749
Access rights Closed access
Type Conference paper
Web of Science ID WOS:000426896900078
URI https://repositorio.unifesp.br/handle/11600/55304

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