| 关联规则和分类规则挖掘算法的改进与实现 |
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| 引用本文： | 陶树平,屠颖. 关联规则和分类规则挖掘算法的改进与实现[J]. 计算机工程, 2003, 29(15): 100-101,187 |
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| 作者姓名： | 陶树平 屠颖 |
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| 作者单位： | 同济大学电子与信息工程学院,上海,200331;同济大学电子与信息工程学院,上海,200331 |
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| 摘 要： | 对Apriori关联规则挖掘算法提出了一种改进方法,使其可以有效地压缩数据规模,提高了原Apriori算法的执行效率。此外,还对OCI分类规则挖掘算法提出了改进,扩展了该算法的适用范围。同时,该采用这两个改进算法实现了一个数据挖掘原型系统。
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| 关 键 词： | 数据挖掘 关联规则 分类规则 斜面超平面 |
| 文章编号： | 1000-3428(2003)15-0100-02 |
Enhancement and Implementation of Association Rules and Classification Rules Mining Algorithm |
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| TAO Shuping,TU Ying. Enhancement and Implementation of Association Rules and Classification Rules Mining Algorithm[J]. Computer Engineering, 2003, 29(15): 100-101,187 |
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| Authors: | TAO Shuping TU Ying |
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| Abstract: | The paper focus on the Apriori association rules mining algorithm ,presents an enhanced method which can effectively reduce the number of data to improve the original Apriori algorithm performance. Moreover, an enhanced method of OC1 classification rules mining algorithm is proposed, which extends the applicable scope of original algorithm .A data mining prototype system is implemented with the two enhanced algorithms . |
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| Keywords: | Data mining Association rules Classification rules Oblique hyper-plane |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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