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正态云关联规则在预测中的应用
引用本文:陆建江,钱祖平,宋自林. 正态云关联规则在预测中的应用[J]. 计算机研究与发展, 2000, 37(11): 1317-1320
作者姓名:陆建江  钱祖平  宋自林
作者单位:中国人民解放军理工大学通信工程学院,南京,210016
基金项目:国家自然科学基金重点项目资助!(项目编号 6 99310 40 )
摘    要:在信息处理领域,用数据挖掘方法发现关联规则和进行预测是两大热点,首先借助正态云模型来替代对数量属性论域的划分,并提出数量属性上的正态云关联规则的概念,接着给出挖掘正态云关联规则的方法,并利用已挖掘出的正态云关联规则进行预测,由于正态云模型较好地软化了数量属性论域的划分边界,从而使得挖掘出的正态云关联规则与预测的结果更容易被人理解。

关 键 词:数据挖掘 正态云 关联规则 预测 关系数据库

APPLICATION OF NORMAL CLOUD ASSOCIATION RULES ON PREDICTION
LU Jian-Jiang,QIAN Zu-Ping,SONG Zi-Lin. APPLICATION OF NORMAL CLOUD ASSOCIATION RULES ON PREDICTION[J]. Journal of Computer Research and Development, 2000, 37(11): 1317-1320
Authors:LU Jian-Jiang  QIAN Zu-Ping  SONG Zi-Lin
Abstract:Discovering association rules and making prediction with data mining methods are two hot|spots in the domain of dealing with information. In this paper, the normal cloud model is adopted to replace the domain partition of quantitative attributes and the concept of normal cloud rules on the quantitative attributes is given. Then the method of mining the normal cloud association rules is provided and the mined rules are used for prediction. Because the normal cloud model can well soften the domain partition boundary of the quantitative attributes, the normal cloud association rules and the prediction results can be easily understood.
Keywords:data mining   normal cloud   association rule   prediction
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