这个数据集中值得注意的特征包含
有效在大数据集中导航。
使用XML从半结构化数据集中抽取有用信息。
Using XML to extract useful information from semi-structured data sets.
一个成熟的并行领域就是大数据集中的排序和搜索。
One area that is ripe for parallelization is sorting and searching in large data sets.
这类规则甚至能够从大型数据集中被有效发掘出来。
Such rules can be discovered efficiently from even very large data sets.
表明返回的数据集中的第一行数据是什么。
Indicates what the first row of data should be in the set of data to be returned.
DataPointer用于作为数据集中的游标。
BIRT报表从数据源和数据集中获取数据。
数据挖掘是一项从大型数据集中发现有用信息的任务。
Data mining is the task of finding useful information in large datasets.
在虚拟数据集中隐藏维度仅影响该虚拟数据集。
Hiding a dimension in a virtual cube only affects that virtual cube.
偏差检测是一项在大型数据集中发现异常数据记录的任务。
Deviation detection is defined as the task of finding unusual data records in large datasets.
在研究箱线图的对称性之后，数据集中会产生少量的外泄。
After studying the symmetry of the boxplot, there is a small amount of right skew in our dataset.
各气泡的大小大致表示了对应数据集中的数据量。
The size of each bubble is a rough indication of the amount of data in that data set. Some interesting items are
在数据集上定义的计算成员在虚拟数据集中不可用。
The calculated members defined on the cubes are not available on the virtual cube.
检查传入的XML文档中的所有雇员ID是否都在引用数据集中。
Check that all employee IDs in the incoming XML document exist in the reference data set.
如果您让该参数保持空白，那么在数据集中您就不会得到什么结果了。
If you leave this parameter blank, you won't get any results in the data set.
执行交易(例如在银行帐户之间转帐)也可能在数据集中生成新的记录。
Executing a transaction such as a transfer of funds between banking accounts can also generate new records in a data set.
当引用非类型化数据集中的列时，维护和性能方面会有所不同。
There are differences in maintenance and performance when referring to columns in an untyped DataSet.
通过使用箱线图，我们就能够在数据集中演示高层次的歪斜度(正外泄)。
By using a boxplot graph we were able to illustrate a significant level of right (positive) skew in the dataset.
如果成员仅存在一个数据集中，那么将把它添加到虚拟数据集中。
If the member exists in only one of the cubes, that member is simply added to the virtual cube.
经常触发的规则可放在开头部分，在大型数据集中实现更高性能。
Rules that fire frequently can be placed at the beginning, resulting in better performance on large datasets.
如果成员没有包含在最终的虚拟数据集中，那么可能它被隐藏了。
If a member is not to be included in the resulting virtual cube, it can be hidden.
从这么多相隔遥远的数据集中提取内容，需要一种复杂的计算性的猜测策略。
Extracting the contents of so many far-flung data sets requires a sophisticated kind of computational guessing game.
可以指定优化切片，切片定义多维数据集中最常被查询的特定部分。
You can specify optimization slices that define specific regions of the cube that are most often queried.
在异常值非常明显的数据集中，中间值和标准偏差值不应该用作位置的度量值。
In datasets where outliers are evident, the mean and standard should not be used exclusively as measures of location.
Datapath可用于通过XPath访问数据集中包含的数据。
Datapath can be used to access the data contained in the dataset using XPath as shown below.
通过将您的应用程序和数据集中到数据中心，管理系统变得轻松多了。
By centralizing your applications and data into the data center, you make it much easier to manage your systems.
这个数据集中的独到之处在于，因为分类注解而知道条目之间的关系。
A unique feature of the datasets is a taxonomy annotating known relations between the items.
比如，如果想要有三个群集，那么就可以从数据集中随意选择三行数据。
For example, if you want to have three clusters, you would randomly select three rows of data from the data set.
此功能减少了从数据集中获得值或将值写入数据集所需要编写的代码的数量。
This feature reduces the amount of code you need to write to get a value out of or into a DataSet.
应用推荐