OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS
Attribute selection which is also known as feature selection is an essential process that is relevant to predictive analysis. To date, various feature selection algorithms have been introduced, nevertheless they all work independently. Hence, reducing the consistency of the accuracy rate. The aim of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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UUM Press
2018-11-01
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| Series: | Journal of ICT |
| Online Access: | https://www.scienceopen.com/document?vid=4d941488-1938-48f8-b2bf-183ca9452996 |
| _version_ | 1818983793558552576 |
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| author | Mohammad Aizat Basir Yuhanis Yusof Mohamed Hussin |
| author_facet | Mohammad Aizat Basir Yuhanis Yusof Mohamed Hussin |
| author_sort | Mohammad Aizat Basir |
| collection | DOAJ |
| description | Attribute selection which is also known as feature selection is an essential process that is relevant to predictive analysis. To date, various feature selection algorithms have been introduced, nevertheless they all work independently. Hence, reducing the consistency of the accuracy rate. The aim of this paper is to investigate the use of bio-inspired search algorithms in producing optimal attribute set. This is achieved in two stages; 1) create attribute selection models by combining search method and feature selection algorithms, and 2) determine an optimized attribute set by employing bio-inspired algorithms. Classification performance of the produced attribute set is analyzed based on accuracy and number of selected attributes. Experimental results conducted on six (6) public real datasets reveal that the feature selection model with the implementation of bio-inspired search algorithm consistently performs good classification (i.e higher accuracy with fewer numbers of attributes) on the selected data set. Such a finding indicates that bio-inspired algorithms can contribute in identifying the few most important features to be used in data mining model construction. |
| first_indexed | 2024-12-20T18:08:45Z |
| format | Article |
| id | doaj.art-7a6c8084035d47f395a3dde5f01564b8 |
| institution | Directory Open Access Journal |
| issn | 1675-414X |
| language | English |
| last_indexed | 2024-12-20T18:08:45Z |
| publishDate | 2018-11-01 |
| publisher | UUM Press |
| record_format | Article |
| series | Journal of ICT |
| spelling | doaj.art-7a6c8084035d47f395a3dde5f01564b82022-12-21T19:30:31ZengUUM PressJournal of ICT1675-414X2018-11-0110.32890/jict2019.18.1.8280OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMSMohammad Aizat BasirYuhanis YusofMohamed HussinAttribute selection which is also known as feature selection is an essential process that is relevant to predictive analysis. To date, various feature selection algorithms have been introduced, nevertheless they all work independently. Hence, reducing the consistency of the accuracy rate. The aim of this paper is to investigate the use of bio-inspired search algorithms in producing optimal attribute set. This is achieved in two stages; 1) create attribute selection models by combining search method and feature selection algorithms, and 2) determine an optimized attribute set by employing bio-inspired algorithms. Classification performance of the produced attribute set is analyzed based on accuracy and number of selected attributes. Experimental results conducted on six (6) public real datasets reveal that the feature selection model with the implementation of bio-inspired search algorithm consistently performs good classification (i.e higher accuracy with fewer numbers of attributes) on the selected data set. Such a finding indicates that bio-inspired algorithms can contribute in identifying the few most important features to be used in data mining model construction.https://www.scienceopen.com/document?vid=4d941488-1938-48f8-b2bf-183ca9452996 |
| spellingShingle | Mohammad Aizat Basir Yuhanis Yusof Mohamed Hussin OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS Journal of ICT |
| title | OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS |
| title_full | OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS |
| title_fullStr | OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS |
| title_full_unstemmed | OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS |
| title_short | OPTIMIZATION OF ATTRIBUTE SELECTION MODEL USING BIO-INSPIRED ALGORITHMS |
| title_sort | optimization of attribute selection model using bio inspired algorithms |
| url | https://www.scienceopen.com/document?vid=4d941488-1938-48f8-b2bf-183ca9452996 |
| work_keys_str_mv | AT mohammadaizatbasir optimizationofattributeselectionmodelusingbioinspiredalgorithms AT yuhanisyusof optimizationofattributeselectionmodelusingbioinspiredalgorithms AT mohamedhussin optimizationofattributeselectionmodelusingbioinspiredalgorithms |