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...

詳細記述

書誌詳細
第一著者: Sajadin, Sembiring
フォーマット: 学位論文
言語:英語
出版事項: 2012
主題:
オンライン・アクセス: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