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1)  positive association rules
正关联规则
1.
In current,association rules mining mainly focuses on positive association rules,as A→B,which has serious disadvantages only to mine positive association rules.
当前关联规则挖掘主要着眼于正关联规则,如A→B的关联规则的挖掘,这种单一的只对正关联规则的挖掘方式存在严重的弊端,他掩盖了数据之间存在的隐含负关联规则,进而无法得出一些正关联规则中某些项目间相互制约的负关联关系。
2)  positive/negative association rule
正/负关联规则
3)  normal association rules
正态关联规则
1.
The method of mining normal association rules is also provided.
首先采用两种聚类方法确定正态模糊数的两个参数 ,并借助正态模糊数模型来软化数量属性论域的划分边界 ,由此生成一系列的正态关联规则。
4)  Positive and Negative Associate Rule Algorithm
正负关联规则
5)  association rules
关联规则
1.
Study on law using Chinese drug of famous old docter of traditional Chinese medicine to coronary heart disease based on association rules;
基于关联规则的名老中医冠心病用药规律研究
2.
Functional modules based organization for association rules of gene expression profiles in cancer cell lines;
基于功能模块组织癌细胞系基因表达谱的关联规则
3.
Data mining of association rules in the combination of gymnasium services;
关联规则在健身服务项目组合中的数据挖掘
6)  association rule
关联规则
1.
Mining association rule in traditional Chinese medicine chemical database;
中药化学数据库关联规则的挖掘
2.
Application of apriori association rules to risk prediction of hepatitis A;
甲型肝炎风险预测中Apriori关联规则应用
3.
Analysis of the Association Rule in the Composition of the TCM Formulas for Diabetes;
消渴病复方配伍规律的关联规则分析
补充资料:4-正庚基苯甲酸-4-正庚基苯酯
CAS:79606-06-7
中文名称:4-正庚基苯甲酸-4-正庚基苯酯
英文名称:4-n-Heptylphenyl 4-n-heptylbenzoate
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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