1) positive/negative association rule
正/负关联规则
3) negative association rules
负关联规则
1.
Exploding number of frequent itemsets in the mining of negative association rules;
负关联规则挖掘中的频繁项集爆炸问题
2.
A algorithm for discovering positive&negative association rules based on correlation coefficient;
基于相关系数的正、负关联规则挖掘算法
3.
Positive and negative association rules mining based on minimum update rate;
基于最小提升率的正负关联规则挖掘
4) negative association rule
负关联规则
1.
Especially when the negative association rules are studied,infrequent itemsets become more and more important because they contain a lot of important negative association rules.
特别是在研究负关联规则后,非频繁项集因包含重要的负关联规则而变得非常重要。
2.
According to the value of interest measure,association rules are classified into positive and negative association rules.
利用兴趣度将关联规则分为正关联规则和负关联规则,从而可以用算法挖掘带有负项的关联规则。
3.
The tradition positive association rule mainly considering the listing project of the affairs, but the negative association rule is not only considered the items which in the listing affairs, but also including the items that are not listed in the listing affairs.
传统的正关联规则考虑的是事务中所列举的项目,而负关联规则不仅考虑事务中所包含的项,还考虑了数据库中存在而事务中所不包含的项。
5) 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。
6) 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。
补充资料：负负
1.犹言惭愧﹑惭愧;对不起﹑对不起。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条