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| 关联规则兴趣度度量方法的比较研究 | |
| 引用本文： | 谭学清,罗琳,周洞汝.关联规则兴趣度度量方法的比较研究[J].情报学报,2007(2):266-270. |
| 作者姓名： | 谭学清 罗琳 周洞汝 |
| 作者单位： | 1. 武汉大学信息管理学院,武汉,430072;武汉大学计算机学院,武汉,430072 2. 武汉大学信息管理学院,武汉,430072 3. 武汉大学计算机学院,武汉,430072 |
| 摘 要： | 关联规则挖掘是数据挖掘中重要的研究课题,已有许多有效的实现算法。然而,这些算法找到的关联规则数目太多,用户无法对其进行分析。为了克服这个问题,出现了一些关联规则衡量标准来分析规则的有趣性,在本文里我们在给出的实例上比较分析了一些关联规则客观兴趣度度量指标,提出了使用关联规则客观兴趣度度量指标的一些建议。 |
| 关 键 词： | 数据挖掘 关联规则 兴趣度度量 |
| 修稿时间： | 2006年12月22 |
The Comparative Study on Interestingness Measures for Mining Association Rules |
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| Tan Xueqing,Luo Lin,Zhou Dongru.The Comparative Study on Interestingness Measures for Mining Association Rules[J].Journal of the China Society for Scientific andTechnical Information,2007(2):266-270. | |
| Authors: | Tan Xueqing Luo Lin Zhou Dongru |
| Abstract: | Discovering association rules is one of the most important tasks in data mining and many efficient algorithms were proposed in literature.However,the number of discovered rules is open so large,so the User cannot analyze all discovered nrles. To overcome that problem several methods for mining interesting rulers only have been proposed.Many measures have been proposed to determine the interestingness of the rule.In this paper we have selected a few of different measures,we have compared these measures by using a data set,and we have mode some recommendation about the use of the measures for discovering the most interesting rulers. |
| Keywords: | data mining association rules interesting measure |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |