| 多类关联规则生成算法 |
| |
| 引用本文： | 曾安平.多类关联规则生成算法[J].计算机应用,2012,32(8):2198-2201. |
| |
| 作者姓名： | 曾安平 |
| |
| 作者单位： | 1. 宜宾学院 计算机与信息工程学院，四川 宜宾 6440072. 宜宾学院 信息技术应用研究所，四川 宜宾 644007 |
| |
| 基金项目： | 四川省教育厅青年基金资助项目，宜宾学院科研项目 |
| |
| 摘 要： | 针对传统关联规则算法产生的规则关联性弱、种类少的缺点，结合Spearman秩相关系数，提出了一种多类关联算法。该算法在传统算法产生的强规则基础上，利用Spearman秩相关方法计算出规则中产品间的同步异步等相关性。将其作为兴趣度阈值，算法可同时产生同步正规则、异步正规则、同步负规则和异步负规则四类关联规则，且规则间联系紧密。实验结果表明了算法的有效性和优越性。
|
| 关 键 词： | Spearman秩相关系数 多类关联规则 兴趣度 Apriori算法 |
| 收稿时间： | 2012-02-13 |
| 修稿时间： | 2012-04-16 |
Multi-class association rule generation algorithm |
| |
| ZENG An-ping.Multi-class association rule generation algorithm[J].journal of Computer Applications,2012,32(8):2198-2201. |
| |
| Authors: | ZENG An-ping |
| |
| Affiliation: | 1. Institute of Information Technology Application, Yibin University, Yibin Sichuan 644007, China2. School of Computer and Information Engineering, Yibin University, Yibin Sichuan 644007, China |
| |
| Abstract: | The association rules generated by traditional algorithms have the shortcomings of few classes and low correlation.Based on the analysis of these shortcomings,and combined with Spearman rank correlation coefficient,a new multi-class association rule algorithm was proposed.Based on the strong association rules generated by traditional algorithms,the new algorithm used Spearman rank correlation to calculate the synchronous and asynchronous correlation coefficient.Setting the correlation coefficient as the interest threshold,the new algorithm can generate synchronous positive rules,contrary positive rules,synchronous negative rules and contrary negative rules.Experiment has been carried out to illustrate the effectiveness and superiority of the algorithm. |
| |
| Keywords: | Spearman rank correlation coefficient multi-class association rule interest measure Apriori algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《计算机应用》浏览原始摘要信息 |
|
点击此处可从《计算机应用》下载全文 |
