Classifying Student Academic Performance: A Hybrid Approach

Ahmad I. Z. Abidin , A and Yong, S.P. and Foong, Oi Mean and Ahmad , Jale and Ili A. Setu, I. (2007) Classifying Student Academic Performance: A Hybrid Approach. In: International Multi-Conference of Engineers and Computer Scientists (IMECS) 2007, 21 - 23 March 2007, Hong Kong.

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Nowadays, organizations are overwhelmed with a large amount of electronic data that require proper management to discover previously hidden knowledge. Having a set of non-transformed data may be a huge waste as specific processes onto the data would result in the discovery of valuable knowledge. This paper discusses the development of a predictive model to classify undergraduate students’ class of graduation: first class, second upper division, second class lower division, or third class. Techniques used to support the classification are implemented in using back propagation feed forward neural network with Bayes probability.

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:1182
Deposited By: Foong Oi Mean
Deposited On:14 Apr 2010 06:16
Last Modified:19 Jan 2017 08:27

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