You can save the performance data set for each execution and compare performance results between executions of your application.
您可以保存您的应用程序的每次执行的性能数据集，并比较各次执行的性能结果。
You could join the enumerations data set to the work items data set, but that might be unwieldy if the work items data set is also joined to another data set.
您可以将枚举数据集合加入到工作项数据集合中，但是如果工作项数据集还加入到了另一个数据集中，那么这可能会更加方便。
A panel opens specifying the data set names for browsing, editing, or creating from this system.
这会打开一个面板，指定要从这个系统浏览、编辑或者创建的数据集名。
You can add more input or output columns to this data set later.
稍后您要向该数据集添加更多的输入或者输出列。
This process is often applied to the complete data set in the sources — that is, without security restrictions.
通常将这个过程应用于数据源中完整的数据集，即没有任何安全限制。
This option allows you to use the data set for the values, rather than typing them all in manually.
该选项允许您去为值使用数据集，而不是手动地全部输入它们。
In this case, you create a new data set to represent all of the team areas to choose from, and then you expose that data set to the report user as a list box.
在这种情况下，您可以创建一个新的数据集合，以代表所有的团队区域，然后您可以向报告用户将数据集作为一个列表框公布。
These applications typically have a very large data set and display a high information density per screen.
这些应用程序通常具有非常大的数据集，并且每屏显示的信息密度非常高。
This way, the data set includes only the non-archived users in the repository.
这种方式，数据集合只包含了储存库中的非档案用户。
Content creators have an XML data set and a series of tasks that they need to perform.
内容创建者拥有一个XML数据集，以及一系列需要完成的任务。
This function first erases all formerly created menu items to ensure that you have the most current data set.
这个函数首先清除之前创建的所有菜单项，以确保您拥有最新的数据集。
Any time that you need to relate one data set to another, this technique is an option.
当您需要将一个数据集合与另一个数据集合联系的时候，这项技术是一个选项。
If you leave this parameter blank, you won't get any results in the 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。
For example, a user may select a customer from a list of customers provided by a data set.
例如，用户可以从一个数据集提供的客户列表中选择一个客户。
The data set we'll use for our clustering example will focus on our fictional BMW dealership again.
我们为群集示例要使用的这个数据集同样也围绕着我们虚构的BMW经销店。
Every attribute in the data set should be normalized, whereby each value is divided by the difference between the high value and the low value in the data set for that attribute.
数据集内的每个属性都应该是规格化的，因此，每个值均除以该属性在数据集内的最高值与最低值间的差值。
This method has the advantage of creating a single data set with information from two tables in the repository, unlike the nested data set technique.
这种方法拥有使用存储库中两个表格信息，来创建单个数据集的优势，不像固定的数据集技术一样。
If your data set is of a suitable size, you can have the best of both worlds.
如果数据集的大小合适，那么就可以同时利用这两种方法的长处。
The generate data set dialog allows you to both generate new data sets and include the resulting set data tables in an existing project data set.
生成数据集对话框既允许您生成新的数据集，又支持在现有的项目数据集中包含结果集数据表。
The data set we'll use for our classification example will focus on our fictional BMW dealership.
我们用于分类示例的数据集所围绕的仍然是我们虚构的BMW经销店。
In SQL terms, this merge calls for an outer join, which matches each row in the work items data set to the single row in the states data set with a matching state ID.
在sql术语中，该合并会调用一个外层联系，它会将工作项数据集合中的每一行，与状态数据集合中的单个行使用匹配状态ID来匹配起来。
This takes a data set with known output values and USES this data set to build our model.
就是拿一组输出值已知的数据集并使用此数据集来创建我们的模型。
If your data set is large, parsing the data all at once can be quite costly.
如果您的数据集很大，一次性解析所有数据会很昂贵。
The data set we'll use for our Nearest Neighbor example should look familiar - it's the same data set we used for our classification example in the previous article.
我们将要为我们的最近邻示例使用的数据集应该看起来非常熟悉—这个数据集就与我们在上一篇文章的分类示例中所用的相同。
Listing 1 shows an example XML data set with a list of books.
清单1显示了书籍列表的一个示例XML数据集。
A histogram is used to graphically summarize and display the distribution of a process data set.
直方图以图形的方式总结和显示一个数据集的分布。
So the first task was to build an XML document that represented the whole data set.
因此第一项任务是构建一个表示整个数据集的XML文档。
Check that all employee IDs in the incoming XML document exist in the reference data set.
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。
This may significantly impact the execution time of the rule when executed on a large data set.
在针对大数据集执行时，这会很明显地影响执行时间。
Dynamic parameters are parameters that can be data bound to an existing BIRT data set.
动态参数可以是绑定到现存的BIRT数据集的一些数据。
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