This causes the stored procedure to execute once the report is run and then you can use it to extract information from an existing PMML mining model.
这样做会使存储过程在报告运行时就能执行，而后，您就能使用它来从已有的PMML挖掘模型提取信息。
Since there are so many techniques with data mining, the major step to creating a good model is to determine what type of technique to use.
由于现在已经有很多数据挖掘技术，因此创建一个好的模型的最主要的步骤是决定要使用哪种技术。
You can use the results from the processing as input to the mining model.
您可以使用处理的结果作为挖掘模型的输入。
Every time you run a mining model, take a moment to open it up and give a new name for the result set.
当您每次运行挖掘模型时，花一点时间来打开结果集并给它起一个新名字。
In the following example, see how to create the mining flow, creating the association model and extracting the rules from it.
下面的示例显示了如何创建挖掘流程，同时创建关联模型并从中提取规则。
A mining model describes the data that you will use, as well as other input parameters necessary for the model to run.
挖掘模型描述了您将使用的数据，还有其他为运行模型所必需的输入参数。
The ultimate goal of data mining is to create a model, a model that can improve the way you read and interpret your existing data and your future data.
数据挖掘的最终目标就是要创建一个模型，这个模型可改进您解读现有数据和将来数据的方式。
The new data has no classification (in this case, no checks on heart disease have been made) and the scoring process assigns a prediction to each new record according to the mining model.
新的数据没有分类别（这里是指还没有做过心脏病检查），评价过程根据挖掘模型将一个预测赋给每个新的记录。
A query subject that USES a stored procedure to access the cluster information of the clustering model created by the mining algorithm.
查询主题使用存储过程访问由挖掘算法创建的集群模型的集群信息。
That takes us to an important point that I wanted to secretly and slyly get across to everyone: Sometimes applying a data mining algorithm to your data will produce a bad model.
这也是我想审慎地告诉大家的一点：有时候，将数据挖掘算法应用到数据集有可能会生成一个糟糕的模型。
The following notes describe some possible variations to the mining model you created using the steps in this tutorial.
下面的注意事项描述了您使用本指南中的步骤创建的模型的一些可能的变化。
Part 3 will bring the "Data mining with WEKA" series to a close by finishing up our discussion of models with the nearest-neighbor model.
第3部分是“用WEKA进行数据挖掘”系列的结束篇，会以最近邻模型结束我们对模型的讨论。
Mining is invoked by a stored procedure call and creates an XML mining model in the database.
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。
It's a bad data mining model for this data.
对于这类数据，分类树是一种极不适合的数据挖掘模型。
It's much easier to run the data mining model than to load the data into it.
运行数据挖掘模型要比将数据载入模型简单得多。
Select the mining model and click on the green arrow in the toolbar to run the model.
选择挖掘模型，点击工具栏上的绿色箭头运行模型。
You can use the instructions above to create a new mining model where the transaction id is MEMBER_ID rather than ORDER_ID.
您可以使用上面的介绍创建新的挖掘模型，它的事务id是MEMBER id而不是ORDER id。
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。
To create the association rule mining model and extract the rules to a database table, do the following
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 mining model that predicts disease risks for patients, follow these steps.
为了创建用于预测病人患病风险的挖掘模型，可遵循以下步骤。
The resulting XML data mining model is stored in the database and can be accessed through SQL/XQuery.
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。
It states whether the mining model classifies the current patient as someone who will suffer the disease (y) or not (n).
它表明挖掘模型将当前病人归为哪种类型，将患上(y)还是不会患上(n)这种病。
Score new data using the mining model
使用挖掘模型对新数据进行评价
We will add input parameters to the stored procedure that can later be set in the Cognos Report and will parametrize the created mining model.
我们会将输入参数添加到这个存储过程以便之后在Cognos Report内设置，我们还要参数化所创建的这个挖掘模型。
Thus, if the data warehouse is used for data mining, a low level of detailed data should be included in the model.
因此，如果数据仓库是用于数据挖掘的，就应该在模型中包含较低细节级(levelof detail)的数据。
The previous article of this series described how to first build a mining model in InfoSphere Warehouse and then to publish the results using Cognos.
在本系列的前一篇文章中，介绍了如何先在InfoSphereWarehouse构建一个挖掘模型，然后再使用Cognos公布结果。
If it is taking more time than desired to run the mining model, you can use Intelligent Miner to create sample sets for you.
如果运行挖掘模型比做决定花费的时间多，您可以使用Intelligent Miner创建简单设置。
The extraction of model information and the dynamic invocation of mining from Cognos reports will be covered in the follow-up articles of this series.
模型信息的提取和从Cognos 中对数据挖掘的动态调用将在本系列接下来的文章中谈到。
The model of the diversified mining giant was Rio’s but its upstart competitor beat it at its own game.
力拓开创了多样化矿产巨头的经营模式，但被BHP“暴发户”后来者居上，在自己的游戏中被人家打败。
The model of the diversified mining giant was Rio's but its upstart competitor beat it at its own game.
力拓开创了多样化矿产巨头的经营模式，但被BHP“暴发户”后来者居上，在自己的游戏中被人家打败。
应用推荐