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Classifying Student Academic Performance: A Hybrid Approach

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. Thi...

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主要な著者: Ahmad I. Z. Abidin , A, Yong, S.P., Foong, Oi Mean, Ahmad , Jale, Ili A. Setu, I.
フォーマット: Conference or Workshop Item
出版事項: 2007
主題:
QA75 Electronic computers. Computer science
オンライン･アクセス:http://eprints.utp.edu.my/1182/1/IMECS_19March08.pdf
http://eprints.utp.edu.my/1182/
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spelling my.utp.eprints.11822017-01-19T08:27:00Z Classifying Student Academic Performance: A Hybrid Approach Ahmad I. Z. Abidin , A Yong, S.P. Foong, Oi Mean Ahmad , Jale Ili A. Setu, I. QA75 Electronic computers. Computer science 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. 2007 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/1182/1/IMECS_19March08.pdf 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. http://eprints.utp.edu.my/1182/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmad I. Z. Abidin , A
Yong, S.P.
Foong, Oi Mean
Ahmad , Jale
Ili A. Setu, I.
Classifying Student Academic Performance: A Hybrid Approach
description 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.
format Conference or Workshop Item
author Ahmad I. Z. Abidin , A
Yong, S.P.
Foong, Oi Mean
Ahmad , Jale
Ili A. Setu, I.
author_facet Ahmad I. Z. Abidin , A
Yong, S.P.
Foong, Oi Mean
Ahmad , Jale
Ili A. Setu, I.
author_sort Ahmad I. Z. Abidin , A
title Classifying Student Academic Performance: A Hybrid Approach
title_short Classifying Student Academic Performance: A Hybrid Approach
title_full Classifying Student Academic Performance: A Hybrid Approach
title_fullStr Classifying Student Academic Performance: A Hybrid Approach
title_full_unstemmed Classifying Student Academic Performance: A Hybrid Approach
title_sort classifying student academic performance: a hybrid approach
publishDate 2007
url http://eprints.utp.edu.my/1182/1/IMECS_19March08.pdf
http://eprints.utp.edu.my/1182/
_version_ 1738655112084062208
score 13.251813

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