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...

全面介绍

Saved in:
书目详细资料
主要作者: Sajadin, Sembiring
格式: Thesis
语言:English
出版: 2012
主题:
在线阅读: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
标签: 添加标签
没有标签, 成为第一个标记此记录!

相似书籍