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Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques.

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Title: Analysis and Prediction of Engineering Student Behavior and Their Relation to Academic Performance Using Data Analytics Techniques.
Authors: de la Fuente-Mella, Hanns1, hanns.delafuente@pucv.cl, Guzmán Gutiérrez, Claudia2, claudia.guzman@pucv.cl, Crawford, Kathleen2, kathleen.cra@gmail.com, Foschino, Giancarla3, giancarla.fos@gmail.com, Crawford, Broderick2, broderick.crawford@pucv.cl, Soto, Ricardo2, ricardo.soto@pucv.cl, León de la Barra, Claudio4, claudio.leondelabarra@pucv.cl, Cisternas Caneo, Felipe2, felipe.cisternas.c@mail.pucv.cl, Monfroy, Eric5, eric.monfroy@univ-angers.fr, Becerra-Rozas, Marcelo2, marcelo.becerra.r@mail.pucv.cl, Elórtegui-Gómez, Claudio6, claudio.elortegui@pucv.cl
Source: Applied Sciences (2076-3417); Oct2020, Vol. 10 Issue 20, p7114, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 147021234
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Oct2020, Vol. 10 Issue 20, p7114, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=147021234
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