发布者和订户通过主题相关，而主题表示订户该兴趣的数据类别。
The publisher and subscribers are related by a topic, which represents the category of data in which the subscribers are interested.
数据类别类似于抽象基类，比如，一个类别可以表示所有的汽车型号。
Data categories are like abstract base classes; a category might be able to represent all models of car, for instance.
数据类别可以包含几个数据项，这些数据项链接到您此前创建的配置项。
Data categories can contain a number of data items, which are linked to the profile items you created earlier on.
这里的答案是对您感兴趣的数据类别使用钻取(drilldown)资源。
The answer here is to use the drilldown resource for the data category you are interested in.
实际上，这些数据类别是真实的，而配置文件中的结构则是这个结构的虚拟副本。
In fact, these data categories are the real thing, and the hierarchy inside each profile is a virtual copy of the same structure.
采用过抽样、欠抽样技术来弥补数据类别分布不平衡对模型性能的不利影响。
Sampling methods including over-sampling, under-sampling were taken to make up the shortage caused by the imbalanced data.
通过使用这些被分类的数据，对于每种数据类别，都可以将数据分析集中于关键的元素。
Using these segregations of data, you can focus on key elements of basic data analysis for each data class.
我们还需要进行深入的研究，最好是根据预先设定数据类别，从而更充分地了解影响被困受害者最长存活时间的各种因素。
Further investigations are needed, ideally with prospectively designed data categories, to more fully understand the factors affecting maximum possible survival times for trapped victims.
服务描述实体是ServiceRegistry提供的信息模型中的一个元数据类别，其中包括物理文档、逻辑派生和一般对象。
Service description entities are a category of metadata in the information model maintained by Service Registry that includes physical documents, logical derivations and generic objects.
通过对广西历史地面气象资料的质量评估，分析地面历史资料整体质量状况、疑误数据类别和原因，让用户在使用数据时有一个全局和客观定量的把握。
Through discussing the quality status, the error categories of Guangxi historical surface meteorological data and its cause, it is advantageous to users in processing data objectively.
数据类别中的DataItems类似于该基类的子类，比如，一个汽车型号类别可能包含一个表示FordFocus的数据项以及其他许多数据项。
The data Items within that category are like subclasses of that base; a category for car models will contain a data item which represents a Ford Focus, for instance, as well as many others.
每一行或列都可以贴上一个安全标签，标签中存储着关于数据的类别或敏感性的信息。
Each row or column can be assigned a security label that stores information about the classification, or sensitivity, of the data.
在创建一个新的文档时，必须将其与这种复杂数据结构中合适的类别关联。
When a new document is created, someone has to associate it with the right categories in this complex data structure.
通常，一组有序数据的类别有自然的顺序，但尺度上相邻点之间的差距不必总是相同的。
Usually, categories for an ordinal set of data have a natural order, but the distinction between adjoining points on the scale is not necessarily always the same.
描述与一个数据元素相关联的数据的主要类别。
Describe the major classification of data associated with a data element.
受各个类别元数据特性的驱动，工具将用于访问和准备各个类别中的数据。
Driven by the meta data characteristics of each category, tools will be used to access and prepare the data within each category.
要过滤数据收集归档文件的内容，选择一个有效的类别或标记以过滤显示的数据。
To filter the contents of the data collection archive, select a valid category or tag to filter the data that is displayed.
可选的维表源于MIML数据中的标准关键词类别。
The optional dimensions stem from the standard keyword categories in the MIML data.
使用实时数据就像是使用一个不同的类别来保存您的电量数据那么简单。
Using this real-time data is as simple as using a different category to store your power data.
这些类别帮助确定对指定的数据使用哪种数据隐私屏蔽算法。
These categories help determine which of the data privacy masking algorithms to use for the specified data.
您可以以这种方式遍历类别结构，直到您发现要在其中存储数据的类别。
You can traverse the category hierarchy in this way until you find the category that you want to store your data in.
数据仓库还可以包含不同类别的数据。
A data warehouse also contains different categories of data.
同时他们也提供了庞大的类别数据库，便于你进行分类。
You can also search their large database of channels, which are conveniently categorised for you.
找到想要存储能源数据的类别后，需要创建一个配置项来存储数据。
Once you find the category where you want to store your energy data, you will want to create a profile item to store that data.
在这个方法中，首先获得应该显示的类别数据，然后再使用populate方法相应创建GUI内容。
In this method, you first obtain the category data that should be displayed and then create corresponding GUI content using the populate method.
维度：维度(dimension)是在分析数据时使用的类别。
Dimension: a dimension is a category by which you want to analyze your data.
人类智慧就好像Intel处理器，能够快速分析数据并指出类别。
We've come to think of human intelligence as being like an Intel processor, able to quickly analyze data and spot patterns.
在这里，数据库中所有类别的信息都是按文章的数量排列的，并且将这些信息显示到标记云中。
Here information about all the categories in the database is weighted by the number of articles and sent for display to the tag cloud.
模式提供了数据库中对象的逻辑类别。
Schemas provide a logical classification of objects in the database.
这一部分介绍如何访问两类系统元数据：类别模式和关系。
This section discusses how to access two types of system metadata: the category schema and the relationships.
应用推荐