| 双向关联规则挖掘提取算法 |
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| 引用本文： | 高秀杰,赵正文.双向关联规则挖掘提取算法[J].信息与电脑,2010(1). |
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| 作者姓名： | 高秀杰 赵正文 |
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| 作者单位： | 西南石油大学计算机科学学院; |
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| 摘 要： | 传统的关联规则挖掘是单向的,不能确定相互依赖的规则,找到的规则不一定是有意义的,甚至是错误的。鉴于此,本文在分析的基础上,提出双向关联规则挖掘算法。并根据其相关性找出对我们有意义的规则。
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| 关 键 词： | 双向关联规则 频繁项集 相关性 |
Two-way extraction algorithm for mining association rules |
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| Gaoxiujie Zhaozhengwen Southwest Petroleum University,School of Computer Science.Two-way extraction algorithm for mining association rules[J].China Computer & Communication,2010(1). |
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| Authors: | Gaoxiujie Zhaozhengwen Southwest Petroleum University School of Computer Science |
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| Affiliation: | Gaoxiujie Zhaozhengwen Southwest Petroleum University,School of Computer Science 610500 |
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| Abstract: | The traditional association rule mining is one-way and can not determine the interdependence rule,the rule is not necessarily to find meaningful,or even wrong.In view of this,this paper,based on the analysis put forward a two-way algorithm for mining association rules.And according to their relevance for us to find a meaningful rules. |
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| Keywords: | two-way association rules frequent item sets relevance |
| 本文献已被 CNKI 等数据库收录！ |
