| 基于模糊层次数值型数据库发现一般化模糊关联规则 |
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| 引用本文： | 沈红斌,范新南,吴小俊.基于模糊层次数值型数据库发现一般化模糊关联规则[J].江苏科技大学学报(社会科学版),2006,20(5):53-57. |
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| 作者姓名： | 沈红斌 范新南 吴小俊 |
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| 作者单位： | 河海大学,计算机及信息工程学院,江苏,常州,213022;上海交通大学,图像处理与模式识别研究所,上海,200030;河海大学,计算机及信息工程学院,江苏,常州,213022;江苏科技大学,电子信息学院,江苏,镇江,212003 |
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| 摘 要： | 关联规则发现是数据挖掘研究领域中的重要内容之一,而以自然语言描述的模糊关联规则更符合人类的思维方式,在决策中占据重要作用。基于属性间通常还存着更高层次的抽象,即呈现出层次结构尤其是模糊层次结构这一事实,通过把经典的模糊理论与关联规则发现算法相结合,提出了在模糊层次结构下从数值型数据库中挖掘一般化模糊关联规则的相应算法。
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| 关 键 词： | 模糊关联规则 模糊层次 数据挖掘 知识发现 |
| 文章编号： | 1673-4807（2006）05-0053-05 |
| 收稿时间： | 2005-09-16 |
| 修稿时间： | 2005年9月16日 |
Mining Fuzzy Association Rules from Quantitative Database with Fuzzy Taxonomic Structure |
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| SHEN Hongbin,FAN Xinnan,WU Xiaojun.Mining Fuzzy Association Rules from Quantitative Database with Fuzzy Taxonomic Structure[J].Journal of Jiangsu University of Science and Technology:Natural Science Edition,2006,20(5):53-57. |
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| Authors: | SHEN Hongbin FAN Xinnan WU Xiaojun |
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| Institution: | 1. College of Computer and Information Engineering, Hohai University, Changzhou Jiangsu 213022, China 2. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200030,China; School of Electronics and Information,Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212003,China |
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| Abstract: | Association rules reflect the relationships among the data items that are of interest to the decision-maker.As the fuzzy concepts can reflect the world more naturally,the fuzzy association rules play a more important role in the data mining research fields.In practice,there are multiple levels of abstraction among the attributes of the databases,and more often such taxonomic structures may not be exact but fuzzy.This paper focuses on how to mine fuzzy association rules from the quantitative database with such fuzzy taxonomic structure.The corresponding mining algorithms are proposed. |
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| Keywords: | fuzzy association rule fuzzy taxonomic structure data mining knowledge discovery |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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