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...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Sajadin, Sembiring
التنسيق:	أطروحة
اللغة:	English
منشور في:	2012
الموضوعات:	QA Mathematics
الوصول للمادة أونلاين:	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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