Educational data mining : predictive analysis of academic performance of public school students in the capital of Brazil
Eduardo Fernandes, Maristela Holanda, Marcio Victorino, Vinicius Borges, Rommel Carvalho, Gustavo Van Erven
| Year of publication: |
January 2019
|
|---|---|
| Authors: | Fernandes, Eduardo ; Holanda, Maristela ; Victorino, Marcio ; Borges, Vinicius ; Carvalho, Rommel ; Erven, Gustavo van |
| Published in: |
Journal of business research : JBR. - New York, NY : Elsevier, ISSN 0148-2963, ZDB-ID 189773-1. - Vol. 94.2019, p. 335-343
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| Subject: | Educational data mining | Academic performance | Predictive analysis | Decision tree | Gradient boosting machine | H2O | Data Mining | Data mining | Brasilien | Brazil | Studierende | Students | Bildungsniveau | Educational achievement | Bildungsverhalten | Educational behaviour | Entscheidungsbaum | Schüler | Pupils |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.jbusres.2018.02.012 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011947437