| 基于属性重要性的关联分类方法 |
| |
| 引用本文： | 胡文瑾,李明.基于属性重要性的关联分类方法[J].计算机工程与设计,2008,29(9):2336-2339. |
| |
| 作者姓名： | 胡文瑾 李明 |
| |
| 作者单位： | 兰州理工大学,计算机与通信学院,甘肃,兰州,730050 |
| |
| 摘 要： | 提出了基于属性重要性的关联分类方法.与传统算法不同的是根据属性重要性程度生成类别关联规则;并且在构造分类器时改进了CBA算法中对于具有相同支持度、置信度规则选择时的随机性.实验结果证明,用该方法得到的分类规则与传统的关联分类算法相比,复杂度低,且有效提高了分类效果.
|
| 关 键 词： | 数据挖掘 关联分类:属性重要性:规则的优先度 数据库覆盖 |
| 文章编号： | 1000-7024(2008)09-2336-03 |
| 修稿时间： | 2007年5月27日 |
Association rule classification based on important rule |
| |
| HU Wen-jin,LI Ming.Association rule classification based on important rule[J].Computer Engineering and Design,2008,29(9):2336-2339. |
| |
| Authors: | HU Wen-jin LI Ming |
| |
| Affiliation: | HU Wen-jin,LI Ming(School of Computer , Communication,Lanzhou University of Technology,Lanzhou 730050,China) |
| |
| Abstract: | Associative classification rules based on importance of attributes is presented.Compared with other algorithms,this algorithm is proposed to apply the importance of attribute measure to the generation of candidate itemsets.Moreover,in the process of building classifier,a new strategy to rank class association rules in order to discriminate between rules which have identical confidences or supports and to prune rule redundancy and conflicts is proposed.The experiments show that,compared with CBA method,the m... |
| |
| Keywords: | data mining associative classification rules importance of attributes global order of rules database coverage |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
