数据挖掘的一个重要的任务就是发现数据库中的关联规则，也就是发现数据库中项集之间有价值的规则或联系。
Discovering association rules is one of the most important tasks of data mining, that is, to find interesting associations or correlation relationships among a large set of data items.
在这些基准的历史中，DB 2是惟一能同时在三项性能结果中领先的数据库(我们多次取得这样的成就)。
In the history of these benchmarks, DB2 is the only database to ever have the leading performance results for all three at the same time (we've done it more than once).
在这种情况下，您创建一个数据源，该数据源从储存库中的工作项获得数据。
In this case, you create a data source that retrieves data from the work items in the repository.
还授予对您已具有读访问权的版本库中每一项的读访问权。
This also grants read access to each item in the version library that you have read access to.
当您在本文的稍后部分中创建数据库域的时候，您将执行其中的每一项任务。
You will perform each of these tasks when you create a database realm later in this article.
每当用户心里想着知识库中没有的项玩这个游戏时，应用程序会在数据库中添加该项以及适当的问题和答案。
Each time a user plays and thinks of an item not in the knowledge base, the application adds that item and the appropriate question and answers to the database.
要获得该列表，我们打开数据库并发出一个SQL查询，取回数据库表中的所有数据项。
To get the list, we open the database and issue a SQL query to fetch all the items within our database table.
组件的服务器端逻辑调用这些方法来直接操作它在存储库中的项。
The server-side logic of a component calls these methods to directly manipulate its items in the repository.
这可确保将所有的依赖项加载到您的本地存储库中。
This will ensure that all the dependencies are loaded in your local repository.
例如，您可以使用该项来查看编目清单数据库中每一项语言或者文件类型行数目的总结。
For example, you can use this TAB to see a summary of the number of lines for each language or file type in the inventory database.
像数据设置编辑器中的浏览项一样，报表编辑器中的浏览项，显示了在储存库中存在数据的情况下，报表会是什么样子的。
Like the preview TAB in the data set editor, the preview TAB in the report editor shows what the report will look like with the data from the repository.
该公司在一项声明中说：“我们不同意安德鲁·库莫的说法。”
"We disagree with the New York attorney general," said the company in a statement.
可以把整个ACL列表（而不是单独的项）复制到数据库的远程副本中。
You can replicate ACLs as an entire list, not just individual entries, to remote copies of the database.
创建、更新和删除存储库中的项只能通过上面讨论的服务器端机制来完成。
Creating, updating, and deleting items in a repository can only be done using the server-side mechanisms discussed above.
非功能需求在需求数据库中进行描述，依附于业务过程模型中的任务或项。
Non-functional requirements are described in a requirements database, attached to tasks and items in the business process model.
这意味着该接口必须提供相关方法，以帮助客户端的各个部分在所访问的存储库中的项的当前状态方面保持协调。
This means that it must provide ways to help the various parts of the client to remain coordinated with respect to the current state of the items that they access in the repository.
这些工作项存储在业务流程编排数据库中，因此将缓存人员解析结果。
These work items are stored in the Business Process Choreographer database, thus caching staff resolution results.
在平面存储库中(例如基于文件的存储库)，基本项是存储库中所有项的根。
In flat repository, such as a file-based repository, a base entry is the root of all the entries within the repository.
数据以称为项的顶级对象形式存储在存储库中。
Data is stored in the repository in terms of top-level objects called items.
把新项添加到数据库中的第一步是，创建并添加一个新的问题元素，见清单6。
The first step in adding the new item to the database is to create a new question element and add that, as in Listing 6.
该浏览项还可以检查储存库中的数据。
The preview tab can also be useful to inspect the data in the repository.
XML模式库是在DB 29中引入的一项新特性，它是XML模式的库，由一个或多个XML模式文档组成。
The XML schema repository is a new feature introduced in DB2 9 that is a repository for XML schemas that may consist of one or more XML schema documents.
事实上，项id是全局唯一标识符(universally unique identifier,UUID)，因此可以将一个存储库中创建的项复制到另一个存储库并保留其标识。
In fact, the item ids are universally unique identifiers (UUIDs), so that an item created in one repository can be replicated to another repository and retain its identity.
事实项loopingMem（由规则一设定的）在整个知识库中搜索这些任务。
The fact loopingMem (set by the first rule) is used to search through the knowledge base for these jobs.
例如，普通XQuery返回结果集形式的项（例如元素或文档片段），一项作为一行，即便多个项来自数据库中的同一文档（行）也是如此。
For example, plain XQuery returns items (such as elements or document fragments) in the result set as one item per row, even if multiple items come from the same document (row) in the database.
任何人都可以定义数据项的类型并提交数据项到库(base)中，以产生一个结构化数据的库，以便GoogleSearch能够找到并适当地表示这些数据。
Anyone can define item types and post items to base in order to provide a base of structured data, which might be found and appropriately presented by Google Search.
这个简单的报表，模仿了RationalTeam Concert中的一个工作项查询；它在储存库中列出了工作项。
This simple report mimics a work item query in Rational Team Concert; it lists the work items in the repository.
您将在pom.xml 中配置以下知识库、依赖项和插件。
You'll configure the following repositories, dependencies, and plugins in pom.xml.
ClearQuest请求记录可以映射到多个储存库中的多个Jazz工作项。
A ClearQuest request record can be mapped to many Jazz work items in many repositories.
ClearQuest请求记录可以映射到多个储存库中的多个Jazz工作项。
A ClearQuest request record can be mapped to many Jazz work items in many repositories.
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