Multi-label learning based on positive label correlations using predictive apriori
Multi-label Learning (MLL) is a general task in data mining that consists of three main tasks: classification, label ranking, and multi-label ranking. MLL is a challengeable task due to the problem of the large search space, which is the result of the existing correlations among the labels. Conseque...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 英語 英語 |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://etd.uum.edu.my/9022/1/s901576_01.pdf https://etd.uum.edu.my/9022/2/s901576_02.pdf https://etd.uum.edu.my/9022/3/s901576_references.docx https://etd.uum.edu.my/9022/ |
| Abstract | Abstract here |