| 模糊关联规则的挖掘算法 |
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| 引用本文： | 徐凤生,陆玉昌.模糊关联规则的挖掘算法[J].德州学院学报,2002,18(2):65-68. |
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| 作者姓名： | 徐凤生 陆玉昌 |
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| 作者单位： | 1. 德州学院计算机系,山东德州,253023
2. 清华大学计算机科学与技术系,北京,100084 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 关联规则的挖掘是数据挖掘中的重要内容之一,关联规则包含了一组对象之间的特定关系.目前对关联规则的研究,仅限于用确定和精确的概念表示的确定关联规则.而现实生活中,数据之间的关系通常表现为模糊关系,用确定的关联规则不能表示数据之间的这种关系.为了拓广关联规则的表示和应用范围,本文讨论了模糊关联规则的概念,并提出了一种基于集合枚举树的模糊关联规则的挖掘算法FAAR.
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| 关 键 词： | 数据挖掘 模糊关联规则 频繁项目集 集合枚举树 |
| 文章编号： | 1004-9444(2002)02-0065-04 |
| 修稿时间： | 2002年1月8日 |
Mining algorithm of fuzzy association rules |
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| XU Feng-sheng ,LU Yu-chang.Mining algorithm of fuzzy association rules[J].Journal of Dezhou University,2002,18(2):65-68. |
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| Authors: | XU Feng-sheng LU Yu-chang |
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| Institution: | XU Feng-sheng 1,LU Yu-chang 2 |
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| Abstract: | Mining of association rules is one of important aspects in data mining.Association rules involve the relation between the data.Association rules which is expressed by the definite and accurate concept is studied in current researches.But, in the real world,the relation between data always represents fuzzy association,not be expressed by the definite and accurate concept,in order to extend expressing and applying range of association rules,fuzzy association rules is discussed in this paper,an mining algorithm of fuzzy association rules which based on set-enumeration tree is gived. |
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| Keywords: | data mining fuzzy association rules frequent itemset set-enumeration tree |
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