An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features
Multi-class imbalance shape-based leaf image features requires feature subset that appropriately represent the leaf shape.Multi-class imbalance data is a type of data classification problem in which some data classes is highly underrepresented compared to others.This occurs when at least one data cl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universiti Teknikal Malaysia Melaka
2017
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| Online Access: | https://repo.uum.edu.my/id/eprint/21735/1/JTECE%20%209%20%201-2%202017%2057%2061.pdf |
| _version_ | 1803628215627939840 |
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| author | Sainin, Mohd Shamrie Alfred, Rayner Ahmad, Faudziah Lammasha, Mohamed A.M |
| author_facet | Sainin, Mohd Shamrie Alfred, Rayner Ahmad, Faudziah Lammasha, Mohamed A.M |
| author_sort | Sainin, Mohd Shamrie |
| collection | UUM |
| description | Multi-class imbalance shape-based leaf image features requires feature subset that appropriately represent the leaf shape.Multi-class imbalance data is a type of data classification problem in which some data classes is highly underrepresented compared to others.This occurs when at least one data class is represented by just a few numbers of training samples known as the minority class compared to other classes that make up the majority class.To address this issue in shapebased leaf image feature extraction, this paper discusses the evaluation of several methods available in Weka and a wrapperbased genetic algorithm feature selection. |
| first_indexed | 2024-07-04T06:18:25Z |
| format | Article |
| id | uum-21735 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:18:25Z |
| publishDate | 2017 |
| publisher | Universiti Teknikal Malaysia Melaka |
| record_format | dspace |
| spelling | uum-217352017-04-19T08:39:42Z https://repo.uum.edu.my/id/eprint/21735/ An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features Sainin, Mohd Shamrie Alfred, Rayner Ahmad, Faudziah Lammasha, Mohamed A.M QA75 Electronic computers. Computer science Multi-class imbalance shape-based leaf image features requires feature subset that appropriately represent the leaf shape.Multi-class imbalance data is a type of data classification problem in which some data classes is highly underrepresented compared to others.This occurs when at least one data class is represented by just a few numbers of training samples known as the minority class compared to other classes that make up the majority class.To address this issue in shapebased leaf image feature extraction, this paper discusses the evaluation of several methods available in Weka and a wrapperbased genetic algorithm feature selection. Universiti Teknikal Malaysia Melaka 2017 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/21735/1/JTECE%20%209%20%201-2%202017%2057%2061.pdf Sainin, Mohd Shamrie and Alfred, Rayner and Ahmad, Faudziah and Lammasha, Mohamed A.M (2017) An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features. Journal of Telecommunication, Electronic and Computer Engineering, 9 (1-2). pp. 57-61. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/1656 |
| spellingShingle | QA75 Electronic computers. Computer science Sainin, Mohd Shamrie Alfred, Rayner Ahmad, Faudziah Lammasha, Mohamed A.M An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features |
| title | An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features |
| title_full | An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features |
| title_fullStr | An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features |
| title_full_unstemmed | An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features |
| title_short | An evaluation of feature selection methods on multi-class imbalance and high dimensionality shape-based leaf image features |
| title_sort | evaluation of feature selection methods on multi class imbalance and high dimensionality shape based leaf image features |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/21735/1/JTECE%20%209%20%201-2%202017%2057%2061.pdf |
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