在更深入挖掘数据库角色及相关XML需求之前，我们首先停下来，描述一些当XML数据成为数据库一部分的时候，所浮现出的常见的关键xml职责。
Before delving further into the database roles and the related XML needs, let's pause to first describe a few of the common key XML responsibilities that surface when XML data is part of the database.
然后，在一个挖掘流中使用这个规则文件，把概念从文本列中提取到关系数据库表中。
We will then use this rule file in a mining flow to extract the concepts from text columns in relational database tables.
在使用挖掘结果创建报告之前，需要定义应该使用哪些资源数据库、表或视图。
Before you can create a report using mining results, you need to define which resources (databases, tables, or views) should be used.
要完成本教程，读者应该熟悉数据库，但是不需要熟悉数据挖掘的概念。
To complete this tutorial, you should be familiar with databases. You do not need to be familiar with data mining concepts.
在用挖掘结果来创建报告之前，需要定义应该使用哪些资源(数据库、表、存储过程)。
Before you can create a report using mining results, you need to define which resources (databases, tables, stored procedures) should be used.
数据挖掘旨在使用统计方法、人工智能和标准的数据库管理技术等等，从大型数据集中抽取模式。
Data mining seeks to extract patterns from large sets of data using, among other things, statistical methods, artificial intelligence, and standard database management techniques.
挖掘所有数据后，您将得到一些精简格式的非常有价值的信息，但这些信息可能位于一个数据库中，也可能作为一个XML文件位于某个文件夹中。
Once you have crunched all of the data, you may be left with very valuable information in a concise format, but it's probably sitting in a database or maybe as an XML file on a filer somewhere.
数据库、报表、数据挖掘和同步等都会被交付。
Databases, reporting, data mining, and synchronization are all going to be offered.
它还演示了如何组合结构化数据库和文本挖掘。
And it also illustrates how it can be combined with structured databases and data mining.
他们能够将数据挖掘技术应用到医学和生物学领域中的大型数据库中。
They can apply the data mining techniques for very large databases that they learn to research in the medical and biotechnology industries, along with many others.
要创建关联规则挖掘模型并将这些规则提取到数据库表，可以执行如下操作
To create the association rule mining model and extract the rules to a database table, do the following
另外一方面，如果您要处理大量数据集(数据挖掘或数据库操作)，访问更大的数据缓存，那么对于64位模式来说这非常容易。
On the other hand, if you're working with a huge data set (data mining, or database operations), having access to a much larger data cache may quite easily make up for this.
这样得到的XML数据挖掘模型存储在数据库中，可以通过SQL/XQuery进行访问。
The resulting XML data mining model is stored in the database and can be accessed through SQL/XQuery.
要从Cognos调用挖掘，最好是在对数据库的单一调用内执行这二者。
To call mining from Cognos, it is ideal to do both in a single call to the database.
InfoSphere Warehouse直接在存储数据的底层DB 2数据库中提供数据挖掘功能。
InfoSphere Warehouse provides data mining functionality directly in the underlying DB2 database where the data resides.
我应该会在2010年毕业。我的研究领域包括：数据库、数据挖掘、安全、社会网络、互联网应用以及数学和其他。
My research areas include, but are not limited to, databases, data mining, security, social networks, Internet applications and some mathematics.
可以通过一个存储过程调用来调用数据挖掘，数据挖掘将在数据库中创建一个XML 挖掘模型。
Mining is invoked by a stored procedure call and creates an XML mining model in the database.
从Cognos报告中，用户可以通过调用数据库上相应的存储过程，交互式地调用数据挖掘。
The user can interactively invoke mining by calling a corresponding stored procedure on the database from a Cognos report.
数据挖掘融合了数据库技术、人工智能和统计学，是目前的研究热点。
Data mining is a hotspot that combines the techniques in databases, artificial intelligence and statistics areas.
挖掘模型存储在数据库中，可以从Cognos中安全、有效地访问它们。
Mining models are stored in the database and can be accessed in a secure, efficient way from cognos.
数据挖掘就是从海量数据中提取知识，又被称为数据库中的知识发现。
Data Mining, also known as knowledge Discovery in Database, distills knowledge from a mass of data.
本系统采用数据挖掘技术从已有的产品数据库、知识库和规则库中获取有用信息和知识以支持产品概念设计。
This system adopts data mining technique to obtain useful information and knowledge from existing products database, knowledge storehouse and regulation storehouse to support conceptual design.
Mining管理：Mining管理使数据库支持数据挖掘，能够管理挖掘模型和管理缓存模型。
Mining administration: mining administration provides the capability to enable databases for mining, to manage the mining models, and to manage cached models.
采用数据挖掘技术从已有的产品的数据库、知识库、规则库中获取有用的信息和知识来有效地支持机械产品概念设计。
This system adopts data mining technique and obtains useful information and knowledge from existing products database, knowledge storehouse and regulation storehouse to support conceptual design.
目前，离群挖掘正逐渐成为数据库、机器学习、统计学等领域研究人员的研究热点。
At present, outlier data mining is a hotspot for the researchers of database, machine learning and statistics.
数据挖掘是从大型数据库的数据中提取人们感兴趣的知识，这些知识是隐含的、事先未知的潜在有用信息。
Data Mining is a domain which tries to extract knowledge and interesting information from very large-scale databases. This knowledge is hidden, unknown, but potentially useful.
数据挖掘是目前信息领域和数据库技术的前沿研究课题。
Data mining is a frontier area in information and database technology.
他说，如果你挖掘大学和研究中心所有的数据库，你会发现地球上最快乐的地方是…丹麦！
He says that if you mine all the databases of universities and research centers, you'll find that the happiest place on Earth is... Denmark!
挖掘和保持功能-挖掘和持有共同的指令记录和数据库中的名单意见，并选择数据库的屏幕。
Tap and hold functionality - tap and hold for common commands for records and databases in the List view and Choose database screens.
数据挖掘(DM)是从数据库中发现知识。
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