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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/1182/ http://scholars.utp.edu.my/id/eprint/1182/1/IMECS_19March08.pdf |
| _version_ | 1848659082992418816 |
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| 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 |
| building | UTP Institutional Repository |
| collection | Online Access |
| 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.
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| first_indexed | 2025-11-13T07:24:47Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:1182 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:24:47Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:11822017-01-19T08:27:00Z http://scholars.utp.edu.my/id/eprint/1182/ 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 en http://scholars.utp.edu.my/id/eprint/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. |
| 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 |
| title | 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_short | Classifying Student Academic Performance: A Hybrid Approach |
| title_sort | classifying student academic performance: a hybrid approach |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/1182/ http://scholars.utp.edu.my/id/eprint/1182/1/IMECS_19March08.pdf |