1) Fuzzy Multilevel Association Rules
模糊多层关联规则
1.
Improved Algorithm of Mining Fuzzy Multilevel Association Rules Based on Implication Degree;
基于蕴涵度的模糊多层关联规则挖掘改进算法
2) fuzzy association rules
模糊关联规则
1.
Application of multidimensional time series fuzzy association rules for hot metal temperature forecasting in a blast furnace;
多维时序模糊关联规则在高炉炉温预报中的应用
2.
System for attack recognition based on mining fuzzy association rules;
一种基于模糊关联规则挖掘的攻击识别系统
3.
Mining fuzzy association rules for processing industry based on fuzzy clustering;
基于模糊聚类的模糊关联规则在流程企业中的应用
3) fuzzy association rule
模糊关联规则
1.
As the fuzzy concepts can reflect the world more naturally,the fuzzy association rules play a more important role in the data mining research fields.
关联规则发现是数据挖掘研究领域中的重要内容之一,而以自然语言描述的模糊关联规则更符合人类的思维方式,在决策中占据重要作用。
2.
In view of that the general association rules can t express the association of fuzzy data,a series of definitions of fuzzy association rules is given and an algorithm of fuzzy association rule mining is proposed based on tree structure.
针对普通关联规则不能表达挖掘对象中模糊信息的关联性问题,给出了一系列有关模糊关联规则的定义,并提出一种基于树形结构的模糊关联规则挖掘算法(FARMBT)。
3.
This paper employs fuzzy association rules mining algorithm(FARMA)to mine highly effective fuzzy rules from network data sets,and then uses the obtained rules to design and construct fuzzy classifiers for intrusion detection.
论文把模糊关联规则挖掘算法引入到网络的入侵检测,利用该算法从网络数据集中提取出具有较高可信性和完备性的模糊规则,并利用这些规则设计和实现用于入侵检测的模糊分类器。
4) fuzzy associate rules
模糊关联规则
1.
In the algorithm, each quantitative attribute is replaced by a fuzzy set and divided into several attributes, which are calculated as separate attributes of database in mining fuzzy associate rules.
阐述了在入侵检测中应用模糊关联规则挖掘的方法,提出了对传统Apriori算法的改进。
2.
In this paper, we describe the technology of mining fuzzy associate rules.
针对数据挖掘中的“尖锐边界”问题,阐述了模糊关联规则挖掘技术,提出了在模糊关联规则的挖掘中将事务属性模糊集中的元素作为单一属性来处理的方法,给出了模糊关联规则挖掘的算法。
3.
This paper describes the technology of mining fuzzy associate rules.
文中阐述了模糊关联规则挖掘技术,提出了在模糊关联规则的挖掘中将事务属性模糊集作为单一属性来处理的方法。
5) multilevel association rules
多层关联规则
1.
Research on parallel mining algorithm of multilevel association rules in cluster;
并行多层关联规则的挖掘算法研究
2.
Optimized Methods for Mining Biological Data Multilevel Association Rules;
生物数据多层关联规则挖掘算法的优化设计
3.
An Algorithm for Mining Biological Data Multilevel Association Rules;
一种基于生物数据的多层关联规则挖掘算法
6) multi-level association rule
多层关联规则
1.
Combined with the idea of OLAM, the mining of multi-dimension and multi-level association rule on data cube are discussed especially.
重点结合联机分析挖掘的思想,讨论了数据立方体上的多维多层关联规则挖掘。
补充资料：模糊规则
模糊规则的形式为：if x is A then y is B
其中A和B为由论域X和Y上的模糊集合定义的语言值。“x is A”称为前提，“y is B”称为结论。
以上模糊规则可以简写为A → B。本质上模糊规则是定义在X × Y上的二元模糊关系R。A → B有
两种解释，一种是A耦合（coupled with）B:
<math>R=A \rightarrow B = A \times B = \int_{X \times Y}^{}tnorm(\mu_A (x), \mu_B (y))/(x,y)</math>
另一种是A导致（entails）B：
<math>R=A \rightarrow B = \bar{A} \cup B</math>
基于以上两种解释和不同的tnorm, tconorm算子，模糊规则可以有多种合法的计算公式。
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