When you define a dimension based on a snowflake schema, which is where dimension attributes are derived from multiple related tables, an attribute relationship is automatically defined as follows.
当您基于雪花型架构(在该架构中，维度属性派生自多个相关的表)定义维度时，会按如下方式自动定义属性关系。
The other is to store the operational keys and, if necessary, time stamps as attribute data on the dimension.
另一种就是存储操作键，并且在必要时，存储时间戳作为维度上的属性数据。
Predicates can be applied to any attribute of a dimension in a cube model.
谓词可以应用于多维数据集模型中维的任何属性。
If the revenue is required to roll up for the product size, the model may need to be changed to include replace the attribute with a physical dimension within the model.
如果需要对产品大小进行汇总收入，那么可能需要更改模型，用模型中的一个物理维度来替换此属性。
These strings of hundreds of attributes are called high-dimensional data because each attribute is called one dimension.
文卡说道，“这些包含数百项属性的字符串就称为高维（high-dimensional）数据，而每一项属性就是一维。
Since the interest rate is an attribute of Account table, the Account dimension table needs to be added.
因为利率是account表的一个属性，所以需要添加account维度表。
Since attribute TIMEID (time) is in the time dimension, use the attributes on the right side of the join.
因为属性TIMEID (time)属于time维，所以在联结的右边使用这个属性。
Since attribute STOREID (store) is in the store dimension, use the attributes on the right side of the join.
因为属性STOREID (store)属于store维，所以在联结的右边使用这个属性。
Since attribute PRODUCTID (product) is in the product dimension, use the attributes on the right side of the join.
因为属性PRODUCTID (product)属于product维，所以在联结的右边使用这个属性。
Convert each of the attributes identified above for di into SQL expressions. Table 5 gives an example using the QUARTER_NAME attribute from the time dimension.
将上面识别出的每个di属性转换为SQL表达式。
To find which attribute(s) will be referenced, first find the facts-to-dimension join for Di.
要想找到引用的属性，首先要找到 Di 的事实-维联结。
Specify options for fixed and changing attribute dimension columns.
指定固定与变更属性维度资料行的选项。
Specify options for historical attribute dimension columns.
指定记录属性维度资料行的选项。
The former algorithm makes improvements from three aspects: discretization, reducing dimension, attribute selection, which effectively solves the conflict between efficiency and prediction precision.
前者从数据的离散化，降维，和属性选择方面有效的解决了处理大规模高维数据库时的效率与精度之间的矛盾。
An optimization method for reasoning results is presented, such as recursive grey fitting model for single sequence and attribute correlativity model for multi-dimension data.
分别在单序列时建立递进灰拟合模型，在多维数据集时利用属性相关性，对插值结果进行学习优化。
Traditional principal analysis method (PCA) based on linear transform is effective method of seismic attribute dimension-reducing optimization.
传统的基于线性变换的主成分分析法(PCA)是一种有效的地震属性降维优化方法。
The concept of attribute similarity is presented to solve the weight problem of multi-dimension object classification, and cloud classifier based on attributes similarity is presented also.
提出了属性相似度概念解决高维对象分类的权重问题，并结合云理论建立了基于属性相似度的云分类器。
The concept of attribute similarity is presented to solve the weight problem of multi-dimension object classification, and cloud classifier based on attributes similarity is presented also.
提出了属性相似度概念解决高维对象分类的权重问题，并结合云理论建立了基于属性相似度的云分类器。
应用推荐