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DOI:
Journal of Software:2001.12(4):607-611

挖掘语言值关联规则
陆建江,宋自林,钱祖平
(解放军理工大学通信工程学院,江苏南京 210016;解放军理工大学计算机与指挥自动化学院,江苏南京 210016;解放军理工大学通信工程学院,江苏南京 210016;东南大学微波与毫米波国家重点实验室,江苏南京 210096)
Mining Linguistic Value Association Rules
LU Jian-jiang,SONG Zi-lin,QIAN Zu-ping
()
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Received:February 15, 2000    Revised:May 30, 2000
> 中文摘要: 讨论了大型数据库上数量属性的关联规则问题.为了软化论域的划分边界,应用相关的模糊c-方法(relationalfuzzyc-means,简称RFCM)算法确定正态模糊数的两个参数,并借助正态模糊数模型来划分数量属性的论域,由此生成一系列的语言值关联规则.另外,给出了语言值关联规则的挖掘方法.由于语言值能很好地表示抽象的概念,从而使得挖掘出的关联规则更抽象、更容易被人理解.
Abstract:The issue of quantitative association rules in large databases is discussed in this paper. In order to soften partition boundary of the domain, the relational fuzzy c-means algorithm is adopted to determine two parameters of normal fuzzy numbers, then the normal fuzzy number model is adopted to partition the domain of the quantitative attributes and a series of linguistic value association rules are generated. The mining method of the linguistic value association rules is also provided. Because the abstract concepts can be well expressed with the linguistic values, the mined association rules are more abstract and easy to understand.
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基金项目:国家自然科学基金资助项目(69931040) 国家自然科学基金资助项目(69931040)
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陆建江,宋自林,钱祖平.挖掘语言值关联规则.软件学报,2001,12(4):607-611

LU Jian-jiang,SONG Zi-lin,QIAN Zu-ping.Mining Linguistic Value Association Rules.Journal of Software,2001,12(4):607-611