Student Academic Performance Prediction using Supervised Learning Techniques

Automatic Student performance prediction is a crucial job due to the large volume of data in educational databases. This job is being addressed by educational data mining (EDM). EDM develop methods for discovering data that is derived from educational environment. These methods are used for understa...

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Veröffentlicht in:	International journal of emerging technologies in learning 2019-01, Vol.14 (14), p.92
Hauptverfasser:	Imran, Muhammad, Latif, Shahzad, Mehmood, Danish, Shah, Muhammad Saqlain
Format:	Artikel
Sprache:	eng
Schlagworte:	Academic Achievement Algorithms Classification Data mining Educational Environment Teaching Methods
Online-Zugang:	Volltext
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