| Wang Xiaofeng (王晓峰),Zhang Dapeng,Shi Zhongzhi.[J].高技术通讯(英文),2012,18(1):38~44 |
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| Adaptive associative classification with emerging frequent patterns① |
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| DOI： |
| 中文关键词: |
| 英文关键词: associative classification, rule, frequent pattern mining, emerging frequent pattern, support vector machine (SVM) |
| 基金项目: |
| Author Name | Affiliation | | Wang Xiaofeng (王晓峰) | | | Zhang Dapeng | | | Shi Zhongzhi | |
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| 中文摘要: |
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| 英文摘要: |
| In this paper, we propose an enhanced associative classification method by integrating the dynamic property in the process of associative classification. In the proposed method, we employ a support vector machine(SVM) based method to refine the discovered emerging frequent patterns for classification rule extension for class label prediction. The empirical study shows that our method can be used to classify increasing resources efficiently and effectively. |
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