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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| Format: | Thesis |
| Language: | English |
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2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/3672/ http://umpir.ump.edu.my/id/eprint/3672/1/CD6309_SAJADIN_SEMBIRING.pdf |