Figure 12 shows an example of an InfoSphere Warehouse mining flow.
图12显示了InfoSphere Warehouse挖掘流量的示例。
Please refer to the InfoSphere Warehouse tutorial for more details.
更多细节，请参考InfoSphere Warehouse教程。
Using InfoSphere Warehouse to create complex mining stored procedures.
使用InfoSphere Warehouse创建复杂的挖掘存储过程。
InfoSphere Warehouse integrates data warehousing and archiving capabilities.
InfoSphere Warehouse集成数据仓储和归档功能。
With InfoSphere Warehouse you analyze the data from directly within the database.
通过InfoSphere Warehouse，您可以在数据库内直接分析数据。
1wa52t-infosphere Warehouse components-sql Warehousing Tool and Administration console.
1wa52t—infosphere数据仓库组件—SQL数据仓库工具和管理控制台。
As shown in the above architecture diagram, the main components of InfoSphere Warehouse are.
如上面的体系结构图所示，InfoSphere Warehouse的主要组件包括。
InfoSphere Warehouse contains rich tooling to extract concepts from text based on dictionaries.
InfoSphere Warehouse包含了丰富的工具来帮助根据字典从文本中提取概念。
InfoSphere Warehouse combines several properties to assign to each cluster a "deviation" degree.
InfoSphere Warehouse结合一些属性为每个集群赋予一个“偏差”度。
First, learn about the task of association rule mining and how to achieve it in InfoSphere Warehouse.
首先，我们先来了解关联规则挖掘的任务以及如何在InfoSphere Warehouse内实现此任务。
The InfoSphere Warehouse installer sets up the configuration needed to connect to the control database.
InfoSphere Warehouse安装程序设置连接到控制数据库所需的配置。
InfoSphere Warehouse contains highly efficient implementations of almost all current data mining algorithms.
InfoSphere warehouse几乎包含目前所有数据挖掘算法的极为高效的实现。
This lets you extend the text analysis capabilities of InfoSphere Warehouse to meet your specific requirements.
这允许您扩展InfoSphere Warehouse的文本分析功能，以满足特定的需求。
The next article in the series goes beyond the text analysis capabilities provided within InfoSphere Warehouse.
本系列下一篇文章将深入探讨InfoSphere Warehouse提供的文本分析功能。
In this article you have learned how to develop your own UIMA analysis engine and use it in InfoSphere Warehouse.
在这篇文章中，您学习了如何开发自己的UIMA分析引擎并在InfoSphere Warehouse中使用它。
InfoSphere Warehouse USES a particularly powerful method for deviation detection that is based on data clustering.
InfoSphere Warehouse使用一种特别强大的方法来进行偏差检测，这种方法基于数据集群。
This article is the third and last of this three part series about the use of InfoSphere Warehouse for text analysis.
本文是关于使用InfoSphere Warehouse进行文本分析的系列文章的第3部分，也是最后部分。
In this article you learned about association rule mining and how to find association rules with InfoSphere Warehouse.
在本文中，您了解了关联规则挖掘及如何用InfoSphere Warehouse获得关联规则的有关内容。
The ability to use UIMA compatible analysis engines greatly expands the analytic capabilities of InfoSphere Warehouse.
使用uima兼容分析引擎的能力大大扩展了InfoSphere Warehouse的分析功能。
InfoSphere Warehouse provides data mining functionality directly in the underlying DB2 database where the data resides.
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。
The rest of this article briefly presents the basic architecture of InfoSphere Warehouse and its text analysis features.
本文的其余部分简要介绍InfoSphere Warehouse及其文本分析特性的基本体系结构。
Association rule mining is invoked by calling a stored procedure as all other mining operations in InfoSphere Warehouse.
对关联规则挖掘的调用是通过调用一个存储过程完成的，与InfoSphere Warehouse内的所有其他挖掘操作无异。
In the following, learn how InfoSphere Warehouse detects outliers and how you can apply deviation detection to your data.
接下来将了解InfoSphere Warehouse如何检测离群值，以及如何对数据应用偏差检测。
InfoSphere Warehouse forwards error messages that occur in your annotator code to the trace of the executed analytic flow.
InfoSphere Warehouse将在注释器代码中发生的错误消息转发到执行分析流跟踪中。
InfoSphere warehouse is available with a variety of tools for warehouse management and analysis. The analytical components are.
InfoSphere Warehouse提供了很多不同的用于仓库管理和分析的工具。
It then shows a simple, step-by-step example of how to use InfoSphere Warehouse to extract concepts using regular expressions.
然后，通过一个简单的示例演示如何在InfoSphere Warehouse中使用正则表达式提取概念。
For a full list of available model extraction functions, take a look at the InfoSphere Warehouse documentation (see Resources).
要获得所有可用的模型提取函数的列表，请参阅InfoSphere Warehouse文档(见参考资料)。
These flows can then be deployed to the InfoSphere Warehouse administration console to be scheduled and run according to needs.
然后，可以将这些流部署到InfoSphere Warehouse管理控制台，以根据需要进行调度和运行。
In addition to the common text analysis methods above, InfoSphere Warehouse allows the use of Apache UIMA compatible annotators.
除了上面的常用文本分析方法之外，InfoSphere Warehouse还允许使用与Apacheuima兼容的注解器。
You can define connections using the default drivers pre-defined in the InfoSphere Warehouse Administration Console application.
可以使用InfoSphere WarehouseAdministrationConsole应用程序中预定义的默认驱动器定义连接。
应用推荐