1) Quantitative Association Rules
多值关联规则
1.
Mining Quantitative Association Rules Based On Interestingness;
基于兴趣度的多值关联规则挖掘
2) Multiple Association Rule
多值属性关联规则
1.
Multiple Association Rules Mining in Human Resources Based on Matrix;
关联规则可以分为布尔型关联规则和多值属性关联规则,前者可以看作是后者的基础和特例。
3) multi-relational association rule
多关系关联规则
1.
Privacy preserving multi-relational association rule mining;
多关系关联规则挖掘中的隐私保护
2.
A multi-relational association rule mining algorithm with guidance of user is proposed in this paper.
本文提出了一种基于用户指导的多关系关联规则挖掘算法,借鉴有向图的概念动态的选择最优关键表,并利用元组ID传播的思想使多表间无需物理连接而能直接进行关联规则挖掘,同时引入用户指导的概念,提高了用户的满意程度及海量数据挖掘的效率和精确度。
4) quantitative association rules
数值型关联规则
1.
Mining quantitative association rules of liquid propellant rocket engine;
液体火箭发动机故障的数值型关联规则挖掘
5) linguistic valued association rules
语言值关联规则
1.
Mining linguistic valued association rules is an important issue of quantitative association rules.
挖掘语言值关联规则是数量型属性关联规则中的一个重要研究内容。
2.
In this paper, the values of records in database are divided into many linguistic values by fuzzy c-means algorithm, and linguistic values are adopted to soften the domain partition boundary of the quantitative attributes so that a series of linguistic valued association rules are generated.
文中应用模糊c-方法算法（FCM）将数据库中记录的值划分成多个语言值，并借助语言值来软化数量属性论域的划分边界，由此生成一系列的语言值关联规则。
6) ternary adjacent rule
三值关联规则
1.
According to the weakness Of the traditional adjacent rule and Boolean rule matrix which can not fulfill representation and inference of uncertain knowledge,ternary adjacent rule (T rule),ternary rule matrix (TR matrix) are proposed and used in this paper.
针对传统关联规则和 Ｂｏｏｌｅａｎ规则矩阵无法进行不确定性知识表示和推理的弱点，该文采用三值逻辑表示规则和真值状态的不确定性，提出并使用三值关联规则（Ｔ规则）和三值规则矩阵（ＴＲ矩阵），利用 ＴＲ矩阵变换实现高速前向推理和后向推理。
补充资料：净现值规则
净现值规则要求厂商应该从事净现值为正的投资项目。投资的净现值是投资未来现金流的现值减去投资的成本。
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