| 基于模糊集和粗糙集的关联规则挖掘策略 |
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| 引用本文： | 万红新,彭云,聂承启.基于模糊集和粗糙集的关联规则挖掘策略[J].江西师范大学学报(自然科学版),2005,29(1):23-25,30. |
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| 作者姓名： | 万红新 彭云 聂承启 |
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| 作者单位： | 江西科技师范学院,数学与计算机系,江西,南昌,330013;江西师范大学,计算机信息工程学院,江西,南昌,330027 |
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| 基金项目： | 江西省自然科学基金资助项目(0011013). |
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| 摘 要： | 提出了一种对原始数据先进行模糊聚类，再提取规则的基于模糊集和粗糙集技术的关联规则挖掘策略，可以在一定程度内减少噪声数据的干扰，消除数据对象中的冗余属性，有利于提高规则挖掘的有效性．
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| 关 键 词： | 关联规则 数据挖掘 粗糙集 模糊集 |
| 文章编号： | 1000-5862(2005)01-0023-03 |
Association Rules Mining Strategy Based on Fuzzy Set and Rough Set |
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| WAN Hong-xin,PENG Yun,NIE Cheng-qi.Association Rules Mining Strategy Based on Fuzzy Set and Rough Set[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2005,29(1):23-25,30. |
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| Authors: | WAN Hong-xin PENG Yun NIE Cheng-qi |
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| Institution: | WAN Hong-xin~1,PENG Yun~2,NIE Cheng-qi~2 |
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| Abstract: | In this paper, a novel association rules mining strategy based on fuzzy set and rough set has been presented. Fuzzy clustering is the first phase, we make use of fuzzy analogue method to realize clustering. Through the clustering, the noise data can be eliminated to a certain extent, which can improve the correctness of result-rules. The second phase is rule-mining ,owing to the attributes reduction, the redundant attributes can be omitted, and the association rules can be educed in the key attributes set. |
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| Keywords: | association rules data mining rough set fuzzy set |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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