关联规则描述可能一起发生的事件。
Association rules describe events that tend to occur together.
关联规则的传统应用多见于零售业。
A traditional example of association rules can be seen in the retail sector.
关联规则挖掘的应用场景很多。
There are many application scenarios in which association rule mining is used.
市场购物篮分析及关联规则挖掘。
在本例中发现三条关联规则。
关联规则描述了哪些项目经常同时发生。
此次分析的目的是提取表单的关联规则。
The analytical goal is to extract association rules of the form.
将关联规则挖掘流部署为DB 2存储过程。
Deploy the association rule mining flow as a DB2 stored procedure.
为何使用关联规则进行挖掘？
序列规则是关联规则的一种，与关联规则稍有不同。
A slight variation of association rules are sequential rules.
为了创建这个关联规则报告，还需执行下面的步骤。
You have to perform the following steps to create the association rules report.
电子商务站点可以很明显的从强大的关联规则中的受益。
E-commerce sites can clearly benefit from strong association rules.
挖掘关联规则是数据挖掘研究的一个重要方面。
Mining association rules is a major aspect of data mining research.
使用来自动态关联规则挖掘的结果创建一个Cognos报告。
Create a Cognos report using results from dynamic association rule mining.
最后，我们还必须将这些提取出的关联规则存储到一个物理表中。
Finally, you have to store the extracted association rules to a physical table.
挖掘关联规则需要两方面的数据，事务及该事务中所包含的信息。
Mining association rules require two pieces of data, the transaction and what was bought in that transaction.
目的探讨关联规则方法在肝癌病人资料分析中的应用研究。
Objective To explore the application of association rules in the analysis of the liver cancer patients data.
现有的关联规则挖掘方法中，大多采用单一的最小支持度。
The single minimum support degree is used in the existing association rules mining methods mostly.
此指针返回包含有关联规则的 RETAIL_RULES表的内容。
The cursor returns the content of the RETAIL_RULES table containing the association rules.
该类算法的提出，为关联规则的精简提供了一种新的解决方法。
This kind of algorithms provides a new method for reducing the set of association rules.
第二个报告显示了所选产品经过滤的、动态创建的那些关联规则。
The second report shows the filtered, dynamically created association rules for the selected product.
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
关联规则是在数据挖掘中所使用的一种技术，并对电子商务事务信息非常有用。
Association rules are one of the techniques used in data mining, and particularly useful with e-commerce transactional information.
关联规则挖掘要求用户要能说明最少support和confidence。
Association rule mining requires the user to state a minimal support and confidence.
您可以使用关联规则中规则进行挖掘，然后设置用户有意要一起购买的捆绑包。
You can use the results from association rule mining to set up bundles of packages that customers tend to buy together.
关联规则挖掘是一项高度交互的任务，用户通常需要尝试多种参数设置才能达到理想的结果。
Association rule mining is a highly interactive task, and users usually have to try many different parameter Settings to achieve the desired result.
您已经学习到了使用关联规则的数据挖掘是识别出在顾客购物车中的相关条目的有用的方式。
You have learned that data mining with association rules is a useful way to identify related items in your customers' shopping carts.
在本示例中，有一个针对每个产品的收入列表，借助它就能够穿透钻取特定产品的关联规则。
Within the report, you can enter parameters to change the mining parameters. In this example, a revenue-per-product list allows you to drill-through to association rules for the specific products.
关联规则可用来进行超级市场内的商品摆放，以便经常同时购买的产品的位置能够彼此靠近。
Association rules are used, for instance, to arrange goods in a supermarket such that products that are often purchased in the same visit to a store are located close to one another.
关联规则可用来进行超级市场内的商品摆放，以便经常同时购买的产品的位置能够彼此靠近。
Association rules are used, for instance, to arrange goods in a supermarket such that products that are often purchased in the same visit to a store are located close to one another.
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