A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification
Most previous works on Bacterial Foraging Optimization Algorithm (BFOA) for data classification were integrated BFOA as a feature selection algorithm and parameters optimizer for other classifiers. To the best of our knowledge, no effort has been carried out to fully utilize BFOA as a classifier....
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| Format: | Proceeding |
| Language: | English English |
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2016
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| Online Access: | http://ir.unimas.my/id/eprint/15508/ http://ir.unimas.my/id/eprint/15508/1/PROCSIT2016%20-%20A%20Conceptual%20Framework%20of%20Bacterial%20Foraging%20Optimization%20Algorithm%20for%20Data%20Classification%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/15508/2/PROCSIT%202016%20-%20Ptogramme%20Book.pdf |
| _version_ | 1848837868995215360 |
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| author | Hossin, M. Mohd Suria, F. |
| author_facet | Hossin, M. Mohd Suria, F. |
| author_sort | Hossin, M. |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Most previous works on Bacterial Foraging Optimization Algorithm (BFOA) for data classification were integrated BFOA as
a feature selection algorithm and parameters optimizer for other classifiers. To the best of our knowledge, no effort has been
carried out to fully utilize BFOA as a classifier. This paper presents a conceptual framework of instance-based BFOA. The
proposed conceptual framework is designed based on the prototype searching approach whose target is to obtain an optimal
reference set (cardinality) and simultaneously aim for high generalization performance by utilizing the strengths of BFOA. |
| first_indexed | 2025-11-15T06:46:30Z |
| format | Proceeding |
| id | unimas-15508 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T06:46:30Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-155082017-03-06T08:05:39Z http://ir.unimas.my/id/eprint/15508/ A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification Hossin, M. Mohd Suria, F. T Technology (General) Most previous works on Bacterial Foraging Optimization Algorithm (BFOA) for data classification were integrated BFOA as a feature selection algorithm and parameters optimizer for other classifiers. To the best of our knowledge, no effort has been carried out to fully utilize BFOA as a classifier. This paper presents a conceptual framework of instance-based BFOA. The proposed conceptual framework is designed based on the prototype searching approach whose target is to obtain an optimal reference set (cardinality) and simultaneously aim for high generalization performance by utilizing the strengths of BFOA. 2016 Proceeding NonPeerReviewed text en http://ir.unimas.my/id/eprint/15508/1/PROCSIT2016%20-%20A%20Conceptual%20Framework%20of%20Bacterial%20Foraging%20Optimization%20Algorithm%20for%20Data%20Classification%20%28abstract%29.pdf text en http://ir.unimas.my/id/eprint/15508/2/PROCSIT%202016%20-%20Ptogramme%20Book.pdf Hossin, M. and Mohd Suria, F. (2016) A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification. In: Progress in Computer Sciences and Information Technology International Conference (PROCSIT'l6), 20 - 22 December 2016, Langkawi Island, Malaysia. |
| spellingShingle | T Technology (General) Hossin, M. Mohd Suria, F. A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification |
| title | A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification |
| title_full | A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification |
| title_fullStr | A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification |
| title_full_unstemmed | A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification |
| title_short | A Conceptual Framework of Bacterial Foraging Optimization Algorithm for Data Classification |
| title_sort | conceptual framework of bacterial foraging optimization algorithm for data classification |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/15508/ http://ir.unimas.my/id/eprint/15508/1/PROCSIT2016%20-%20A%20Conceptual%20Framework%20of%20Bacterial%20Foraging%20Optimization%20Algorithm%20for%20Data%20Classification%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/15508/2/PROCSIT%202016%20-%20Ptogramme%20Book.pdf |