| 基于线性回归的关联规则相关性方法的研究 |
| |
| 引用本文： | 叶德谦,赵世磊. 基于线性回归的关联规则相关性方法的研究[J]. 计算机研究与发展, 2008, 45(Z1): 291-294 |
| |
| 作者姓名： | 叶德谦 赵世磊 |
| |
| 作者单位： | 燕山大学信息科学与工程学院,秦皇岛,066004 |
| |
| 摘 要： | 关联规则挖掘问题是数据挖掘的一个重要研究领域.对关联规则在相关性方面的不足进行了分析,提出了一种基于线性回归和反向验证的方法,来对关联规则的相关性进行论证.这种方法使对关联规则相关性的认识更加精确,并为关联规则能成为决策提供了支持.
|
| 关 键 词： | 线性回归 反向验证 关联规则 相关性 |
| 修稿时间： | 2007-07-10 |
Correlation Technique Research of Association Rule Base on Linear Regression |
| |
| Ye Deqian,Zhao Shilei. Correlation Technique Research of Association Rule Base on Linear Regression[J]. Journal of Computer Research and Development, 2008, 45(Z1): 291-294 |
| |
| Authors: | Ye Deqian Zhao Shilei |
| |
| Affiliation: | Ye Deqian , Zhao Shilei(College of Information Science , Engineering,Yanshan University,Qinhuangdao 066004) |
| |
| Abstract: | The mining association rules is an important research field in datamining. This paper has analyzed some problems of association rules in the field of correlation and proposed a method that based on linear regression and backward verification to demonstrate the relevance of the association rules. This method has made the understanding of the relevant association rules more precise and supported association rules to be decision-making. |
| |
| Keywords: | linear regression backward verification association rule correlation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
