| 基于蕴涵度的模糊多层关联规则挖掘改进算法 |
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| 引用本文： | 曾孝文,王惠宇.基于蕴涵度的模糊多层关联规则挖掘改进算法[J].现代计算机,2008(2):18-20. |
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| 作者姓名： | 曾孝文 王惠宇 |
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| 作者单位： | 湖南理工学院计算机与信息工程系,岳阳414006 |
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| 摘 要： | 针对模糊多层关联规则挖掘算法的不足,引入了蕴涵度的方法,实现了基于蕴涵度的模糊多层关联规则挖掘算法.推导出了蕴涵度可以用支持度来表示,这样有效地缩短了程序的执行时间.实验结果证明了采用蕴涵度代替置信度的方法提高了模糊多层关联规则挖掘算法的效率.
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| 关 键 词： | 模糊多层关联规则 支持度 置信度 蕴涵度 模糊蕴涵算子 |
| 收稿时间： | 2007-11-12 |
| 修稿时间： | 2008-01-20 |
Improved Algorithm of Mining Fuzzy Multilevel Association Rules Based on Implication Degree |
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| ZENG Xiao-wen,WANG Hui-yu.Improved Algorithm of Mining Fuzzy Multilevel Association Rules Based on Implication Degree[J].Modem Computer,2008(2):18-20. |
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| Authors: | ZENG Xiao-wen WANG Hui-yu |
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| Affiliation: | ZENG Xiao-wen,WANG Hui-yu (Department of Computer , Information Engineering,Hunan Institute of Science , Technology,Yueyang 414006) |
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| Abstract: | Aimming at the deficiency of fuzzy multilevel association rules mining algorithm, introduces implication degree, implement the fuzzy multiple-leveled association rules mining algorithm base on implication degree. Implication degree instead of confidence dgree and using fuzzy implication operator, implication degree is further derived by support degree,thus the pro- gram execution time was effectively shortened. The experiment results prove that the efficiency of fuzzy multilevel association rules mining algorithm improved by using the method of implication degree instead of confidence dgree. |
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| Keywords: | Fuzzy Multilevel Association Rules Support Degree Confidence Degree Implication Degree Fuzzy Implication Operator |
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