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1)  fuzzy spatial association rule
模糊空间关联规则
1.
In this paper, we combine the fuzzy association rule mining approaches with the methods of fuzzy concept hierarchy presentation as well as analyzing of fuzzy spatial relation hierarchy(including topology, direction and distance) to develop a method for extracting fuzzy spatial association rules from geographical data and remote sensing images.
将模糊关联规则挖掘方法与模糊空间概念层次表达、模糊空间关系层次分析等结合起来,研究模糊空间关联规则挖掘的理论和方法。
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)  spatial association rule
空间关联规则
1.
Discovery of Spatial Association Rules Based on the Meteorological Data of Yunnan Province;
基于云南气象数据的空间关联规则挖掘
2.
Fuzzy genetic algorithm has a character that can solve random and nonlinear problem easily,and it can settle the problem of spatial association rule mining with the character.
空间关联规则是空间数据挖掘的重要知识内容,利用模糊遗传算法能很好地解决随机和非线性等问题的特征,解决空间关联规则的数据挖掘问题。
3.
On the basis of analyzing the typical spatial association rules algorithm,the paper aims at the shotage of the regular redundancy and the excavation elasticity proposes a multi-level spatial association rules mining algorithm based on meta-rule and FP-Tree growth algorithm.
在分析典型的空间关联规则算法的基础上,针对规则冗余和挖掘伸缩性差的不足,提出基于元规则和FP增长树的空间关联规则挖掘算法,该算法不用产生候选集合,而使用最不频繁的项后缀,减少了扫描数据库的次数,大大降低了搜索开销;同时,元规则的约束,提供了好的选择性,减少了规则的冗余。
6)  spatial association rules
空间关联规则
1.
Mining and Visualization of Spatial Association Rules Based on Web;
基于Web的空间关联规则提取及可视化的实现
2.
Most differences between spatial association rules and traditional association rules are the fact that distance relation,direction relation and topology relation of the spatial entity are needed to be taken into account.
空间关联规则与传统关联规则的主要区别在于空间关联规则挖掘需要考虑空间实体的距离关系、方位关系和拓扑关系,而空间概念层次的形成往往是基于多个空间数据层或面向特定主题的。
3.
An idea of gaining the big scale spatial association rules from the small scale spatial association rules is also expressed.
文中根据从小尺度的空间关联规则推导大尺度空间关联规则的思想 ,提出了一种点对象在多尺度的空间数据中生成概念层次关系的算法。
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