Binary Archimedes Optimization Algorithm based Feature Selection for Regression Problem
The use of datasets became paramount in many searches in one hand, on the other hand the rapidly growth of data size involves computational complexity and reduces model performances, this encourage us to find new methods to deal with this problem. Features Selection is the one of the main task used...
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| Published in: | 2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) pp. 1 - 7 |
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| Main Authors: | , , |
| Format: | Conference Proceeding |
| Language: | English |
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IEEE
12.10.2022
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| Abstract | The use of datasets became paramount in many searches in one hand, on the other hand the rapidly growth of data size involves computational complexity and reduces model performances, this encourage us to find new methods to deal with this problem. Features Selection is the one of the main task used to resolve this issue. In this paper we propose a novel features selection method for regression task based on AOA (Archimedes Optimization Algorithm), experimental results shows that the proposed method can efficiently reduce dataset size and improve model performance. |
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| AbstractList | The use of datasets became paramount in many searches in one hand, on the other hand the rapidly growth of data size involves computational complexity and reduces model performances, this encourage us to find new methods to deal with this problem. Features Selection is the one of the main task used to resolve this issue. In this paper we propose a novel features selection method for regression task based on AOA (Archimedes Optimization Algorithm), experimental results shows that the proposed method can efficiently reduce dataset size and improve model performance. |
| Author | Amine, Djermane Hichem, Haouassi Soumia, Zertal |
| Author_xml | – sequence: 1 givenname: Djermane orcidid: 0000-0002-8334-1366 surname: Amine fullname: Amine, Djermane email: amine555isr@gmail.com organization: University of Oum El-Bouaghi,ReLa(CS)2 Laboratory,Algeria – sequence: 2 givenname: Haouassi orcidid: 0000-0001-8465-499X surname: Hichem fullname: Hichem, Haouassi email: haouassi.hichem@univ-khenchela.dz organization: University Abbes Laghrour Khenchela,ICOSI Laboratory,Algeria – sequence: 3 givenname: Zertal orcidid: 0000-0003-0127-900X surname: Soumia fullname: Soumia, Zertal email: szertal@gmail.com organization: University of Oum El Bouaghi,Department of Mathematics & Computer Science,Algeria |
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| Snippet | The use of datasets became paramount in many searches in one hand, on the other hand the rapidly growth of data size involves computational complexity and... |
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| SubjectTerms | Archimedes optimization algorithm Classification algorithms Data mining Data models Feature extraction feature selection Metaheuristics Prediction algorithms Predictive models regression Search problems swarm-based optimization |
| Title | Binary Archimedes Optimization Algorithm based Feature Selection for Regression Problem |
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