New Learning Models for Generating Classification Rules Based on Rough Set Approach
Data sets, static or dynamic, are very important and useful for presenting real life features in different aspects of industry, medicine, economy, and others. Recently, different models were used to generate knowledge from vague and uncertain data sets such as induction decision tree, neural netw...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 英語 |
| 出版事項: |
2000
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| 主題: | |
| オンライン・アクセス: | http://psasir.upm.edu.my/id/eprint/9646/1/FSKTM_2000_2_IR.pdf |