DocumentCode :
3579063
Title :
Comparison of classification techniques for predicting the cognitive skill of students in education environment
Author :
Mayilvaganan, M. ; Kalpanadevi, D.
Author_Institution :
Department of Computer Science, PSG College of Arts and Science College, Coimbatore, India
fYear :
2014
Firstpage :
1
Lastpage :
4
Abstract :
The proposed methodology involves to compares classification techniques for predicting the cognitive skill of students which can be evaluate by conducting the online test. The paper focuses the comparative performance of C4.5 algorithm, Naïve Bayes classifier algorithm which one is well suited accuracy for predicting the skill of expertise by experimenting in Rapid miner.
Keywords :
Accuracy; Classification algorithms; Cognition; Data mining; Education; Prediction algorithms; Training data; C4.5 algorithm; Datamining; Naïve Bayes Classification; Rapid Miner;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-3974-9
Type :
conf
DOI :
10.1109/ICCIC.2014.7238346
Filename :
7238346
Link To Document :
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