This release adds support for new SQL Server 2008 data mining features including holdout and cross-validation, a new Document Model wizard, and improvements to existing wizards.
此版本添加了新的SQLServer 2008数据挖掘功能支持，包括维持和交叉验证、新的文档模型向导和对现有向导的改进。
Table Analysis tools for Excel: This add-in provides easy-to-use tools that leverage SQL Server 2008 data mining features to perform powerful analytics on your spreadsheet data.
Execel表分析工具：此插件提供了一个易于使用的工具，让你允许利用SQLServer 2008的数据挖掘功能对你的电子表格数据进行强大的分析。
It also has a general API, so you can embed WEKA, like any other library, in your own applications to such things as automated server-side data-mining tasks.
它还有一个通用API，所以您可以像嵌入其他的库一样将WEKA嵌入到您自己的应用程序以完成诸如服务器端自动数据挖掘这样的任务。
One resolution is that server predicts hot data with the rule discovered in association rule mining and USES data broadcasting technology to push hot data to mobile client.
一种解决方案是服务器根据关联规则挖掘出的规律，对热点数据进行预测，并利用数据广播技术将热点数据不断地推向移动客户机。
However, there are several preprocessing tasks that must be performed prior to applying data mining algorithms to the data collected from server logs.
然而，在将数据挖掘的算法运用到服务器日志上之前，必须对日志数据进行一些预处理。
The OLAP server is normally a separate component that contains specialized algorithms and indexing tools to efficiently process data mining tasks with minimal impact on database performance.
该OLAP服务器通常是一个包含专门的算法和索引工具的单独的组成部分，在有效地处理数据挖掘的任务时，对数据库的性能影响微乎其微。
The OLAP server is normally a separate component that contains specialized algorithms and indexing tools to efficiently process data mining tasks with minimal impact on database performance.
该OLAP服务器通常是一个包含专门的算法和索引工具的单独的组成部分，在有效地处理数据挖掘的任务时，对数据库的性能影响微乎其微。
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