Using these data sets, we can get the work items and their structures.
使用这些数据集，我们可以得到工作项目和它们的结构。
Using the objects in other data sets.
使用其他数据集合之中的对象。
A query to select all data sets is executed.
执行了选择所有数据集的查询。
Navigating through large data sets efficiently.
有效在大数据集中导航。
All remote data sets are cataloged as nicknames.
所有远程数据集都按昵称(nickname)归类。
Creating data sets to retrieve other information.
创建数据集以获取其他的信息。
The above image illustrates participating data sets.
以上图片演示了参与该计划的数据集。
Learn how Exhibit USES schemata to organize data sets.
了解Exhibit是如何使用schemata组织数据集的。
The larger the data sets, the longer the process takes.
数据集越大，过程花费的时间越长。
This one containing 286 data sets and 100,000 subjects.
此次有286套资料和十万课题。
Support multiple output links using different data sets.
支持使用不同数据集的多个输出链接。
BIRT reports obtain data from data sources and data sets.
BIRT报表从数据源和数据集中获取数据。
Almost all data sets contain irregularities and anomalies.
几乎所有的数据集都包含不规则和异常的数据。
programme EW equipment with data sets for specified missions.
为具体任务计划电子战装备和数据集。
Each node can transfer data sets simultaneously to every other node.
每个节点可以同步地将数据集传输到其他节点。
Such rules can be discovered efficiently from even very 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。
This regression model is easy to use and can be used for myriad data sets.
这个回归模型很容易使用，并且可以用于很多数据集。
Do you see or foresee an increasing need for working with large data sets?
不知道读者们是否看见或者预见了对处理海量数据集的快速增长的需求了没有？
Data sets are result sets of data that BIRT retrieves from the data source.
数据集是BIRT从数据源中获得数据集的结果。
Initial vector-space creation times can be long, especially for large data sets.
初始向量空间的创建时间可能很长，尤其对于大型数据集来说更是如此。
The data sets we have created to get work item information are shown in Figure 7.
我们用于获得工作项信息而创建的数据集如图7所示。
This feature is very useful when combining data sets from different data sources.
当从不同的数据源中整合数据集时该特性的作用就显得尤为明显。
These data sets included documents of various sizes that ranged from 2KB to 100MB.
这些数据集包含从2KB到 100MB的各种大小的文档。
For some report parameters, we will need to create data sets to get the relevant data.
对于一些报表参数，我们需要创建数据集来得到相关的数据。
One area that is ripe for parallelization is sorting and searching in large data sets.
一个成熟的并行领域就是大数据集中的排序和搜索。
These data sets are created separately so that they may be reused in various test cases.
这些数据集是分别创建的，以便可以在各种测试用例中复用它们。
Each of these data sets has specific values, and most of those have their own structures.
其中每种数据集都具有特定的值，绝大多数都有着自己的结构。
The data sets all grant access to their knowledge bases and link to items of other data sets.
这些数据集内的知识库都可以被访问，并和其它数据集的内容连接在一起。
Processing of data as batch or real-time, including handling large volumes of large data sets.
批处理或实时的处理数据，包括处理大容量的大数据集。
His Lehman report was a mammoth task involving e-mails, reports, data sets and interviews.
撰写雷曼报告是一项任务量巨大的工作，涉及电子邮件、报告、数据库和面谈。
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