A UML 2.1 defined metaclass can be used to specify the type of stereotype attributes by creating a metaclass association between the stereotype and the desired metaclass.
UML 2.1规范所定义的元类，可以被用来指定原型属性集的类型，通过在原型和所需的元类之间创建一个元类的关联。
Other stereotypes can be used to specify the type of stereotype attributes by creating a directed stereotype association between the two stereotypes.
其它的原型可以被用来指定原型属性集的类型，通过创建一个直接的原型关联，在两个原型之间。
When Tom completes the domain association of the four new atomic domains, the Data Project Explorer shows four columns in the physical model having privacy masking attributes, as shown in Figure 18.
当Tom 将4 个新的原子域与对应的列关联起来之后，DataProjectExplorer 将在具有隐私屏蔽属性的物理模型中显示 4 个列，如图 18 所示。
Using Grey association analysis realized the sensibility analysis of seismic attributes and built up Grey association between the reservoir parameters and attributes.
利用灰关联分析实现了地震属性的敏感性分析，并建立了储层参数与属性之间的灰色关联。
Association can find the correlativity of two or more attributes, used to find the rule of user and the site it accessed in the system.
关联能发现数据中两个或多个属性间的相关性，用于发现网络用户及其访问网站间的潜在规则。
A discussion is made on how to identify relevant reader attributes in regard of the books they checked out and MAR_LCR algorithm is applied to the circulation records to mine the association rules.
接下来本文讨论如何确定借阅记录中与借阅图书类型相关的读者属性并应用MAR_LCR算法对借阅记录进行关联规则的挖掘。
Attributes in the database of tumor diagnoses are usually quantitative attributes, so quantitative attribute discretization is a problem of mining association rules.
肿瘤诊断数据库中的属性常为数量型属性，因此如何将数量型属性离散化是挖掘关联规则的难点。
Mining the association rules (or knowledge) from data can be described by a qualitative mapping based on conversion of quantity quality features of attributes.
指出了若将规则看作是一种广义的特征，则从数据中挖掘规则(或知识)，可用属性量-质特征转化的定性映射加以刻画。
Mining the association rules (or knowledge) from data can be described by a qualitative mapping based on conversion of quantity quality features of attributes.
指出了若将规则看作是一种广义的特征，则从数据中挖掘规则(或知识)，可用属性量-质特征转化的定性映射加以刻画。
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