Experimental study of support vector machines and Naïve Bayes classifier on automated subject area classification
Subject area classification allow researchers to identify publications based on their discipline or research domain. When number of document is large, classification of publication documents become increasingly difficult. Besides, covering granularity of broad range of subject areas manually is a cr...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Journal of Information Systems Research and Innovation (JISRI)
2017
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/80618/ https://seminar.utmspace.edu.my/jisri/download/Volume%2011-3/Paper%202%20Rajan%20CR%207-13.pdf |
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