An application of predicting student performance using kernel k-means and smooth support vector machine

An application of predicting student performance using kernel k-means and smooth support vector machine

This thesis presents the model of predicting student academic performances inHigher Learning Institution (HLI).The prediction ofstudentssuccessfulis one of the most vital issues inHLI.In the previous work, thereare many methodsproposed topredictthe performanceof students such as Scholastic Aptitude...

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書目詳細資料
主要作者:	Sajadin, Sembiring
格式:	Thesis
語言:	English
出版:	2012
主題:	QA Mathematics
在線閱讀:	http://umpir.ump.edu.my/id/eprint/3672/1/An%20application%20of%20predicting%20student%20performance%20using%20kernel%20k-means%20and%20smooth%20support%20vector%20machine.pdf
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