Develop data rules in a team environment.
在一个团队中开发数据规则。
Developing data rules in a team environment.
在团队中开发数据规则。
Schedule the execution of data rules from a production environment.
从生产环境中调度数据规则执行。
Move data rules from a development system to a production environment.
将数据规则从开发环境移到生产环境。
You can leverage this capability to implement a version control system for your data rules.
您可以利用这一功能为您的数据规则实现版本控制。
You can then capture business processes, rules, and data in an abstract model.
然后，您可以在抽象模型中捕获业务流程、规则和数据。
The proposal should include detailed written business rules for fixing the data.
建议应包括用于数据修理的详细书写业务规则。
The problem is that functional and data decompositions are driven by completely different rules.
问题在于功能和数据的分解完全由不同的规则驱动。
The various business rules will be referenced for how the data transformation will occur.
各种业务规则将作为数据转换如何发生的参考。
If any of the access rules are violated, the user is denied access to data.
如果违反任意一条访问规则，则拒绝用户访问数据。
The model manages the data of the application by applying business rules.
模型。 模型通过业务逻辑管理应用中的数据。
Some orthographies require little FLT data; others require immense information to capture complex rules.
有些拼字法需要少量的FLT数据；另外一些字符则需要很多信息来捕获复杂的规则。
Consistent rules applied to the data.
应用于数据的一致规则。
Inconsistent rules are applied to the source data.
对源数据应用了不一致的规则。
We apply the business rules in function form and the market data to the apply_biz_rules function.
把函数形式的业务规则，以及市场数据交给apply_biz _ rules函数。
Reviewers need instructions and decision rules on the data collection form.
评价者需要对数据收集表作出指令或决策规则。
Association rules are an important aspect of research of Data Minging.
关联规则是数据挖掘研究领域的一个重要分支。
Association rules are an important aspect of research of Data Ming.
关联规则是数据挖掘最重要的课题之一。
Decision rules can be mined from given data using rough set theory.
利用粗糙集理论可以从已知数据中挖掘决策规则。
Association rules is an important part of data mining research.
关联规则是数据挖掘的重要研究内容之一。
Association rules is an important method of data mining techniques.
关联规则是一种重要的数据挖掘技术。
Discovering association rules is one of the most important task in data mining.
挖掘关联规则是数据挖掘的一个重要任务之一。
However, such rules often pertain directly to a system or the data in it.
然而，这样的规则常常是直接附属于一个系统或附属于规则里的数据。
The rules are different when comparing the different type data.
每种类型的数据有不同的比较规则。
On the relevance of data, association rules have positive or negative association rules.
关联规则就数据项之间的相关性来说，可以有正负关联规则之分。
Rules will be hidden in the law of K-Line map data.
股价的规律便隐藏于K线图的数据中。
Constraints are rules that help preserve the integrity of data in a table.
约束是有助于保持表中数据的完整性的规则。
The data mining system can discover association rules and decision rules.
本数据挖掘系统使用增量算法发现关联规则和提取决策规则。
Mining association rules is an important part of data mining field.
关联规则是数据挖掘中的一个重要研究内容。
Mining association rules is an important part of data mining field.
关联规则是数据挖掘中的一个重要研究内容。
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