• If you run the same data rule several times, new tables are created with each run.

    如果多次运行同一个数据规则,每此运行都创建新表。

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  • This level of analysis can only be achieved through the evaluation of business or data rule conditions.

    这一级别的分析只能通过评估业务或数据规则条件来完成。

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  • The following tables contain an overview of all functions and tests that you can use in the logic of a data rule.

    以下表包含了可用于数据规则逻辑中的所有函数及测试的概述。

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  • Each time you run a data rule, a rule definition is tested, and several tables that contain the rule outputs and rule statistics are created in the analysis database.

    每次运行数据规则时,都会测试规则定义,而且会在分析数据库中创建几个包含规则输出与规则统计信息的表。

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  • This measure tells us how often the rule occurs in the data.

    这种测量方法能告诉我们该规则在数据内发生的频率。

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  • Welcome to the marvelous world of data mapping, where every rule has an exception.

    欢迎来到奇妙的数据映射世界,这里的每条规则都有例外。

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  • Now that you know how to add custom data parameters to a rule extension, you're ready to learn how to use those values in your code.

    您既然已经了解了如何添加一个数据参数到一个规则扩展中,那么您就已经准备好学习如何在您的代码中使用那些值了。

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  • This submission rule defines which data instance is submitted and how it is submitted.

    这个提交规则定义提交哪个数据实例,以及如何提交。

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  • Next, create the submission rule, which defines which data is submitted and how it is submitted.

    接下来,创建提交规则,提交规则定义提交哪些数据以及如何提交。

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  • Rule of Representation: Fold knowledge into data so that program logic can be stupid and robust.

    表示原则:把知识放在数据中,这样程序逻辑就可以又蠢又壮。

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  • The editor that displays your resource is determined by the author of the rule and the type of data in the resource.

    显示您的资源的编辑器是由规则的作者和资源中的数据类型所决定的。

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  • The rule and value (5,000 USD) are policy data.

    这里的规则及值(5,000USD)就是策略数据。

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  • Figure 3 shows how a scalar rule is executed on sample data.

    图3展示了如何在示例数据上执行标量规则。

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  • Open the empty rules that you created in the first step, complete the rule logic, and test against test data.

    打开您在第一步中创建的空规则,完成规则逻辑,并使用测试数据进行测试。

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  • You can express each rule found in the data mining as a merchandising association.

    您可以将在数据挖掘中发现的每条规则表示成商品销售关联。

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  • This is undesirable because it violates a fundamental rule of object orientation: Objects have behavior and data.

    但是,这种方式并不合适,因为这违反了面向对象的基本规则:对象拥有行为和数据。

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  • If several rules are operating on the same data set, then execute them as a rule set to minimize the execution time.

    如果在同一数据集上运行多个规则,那么以规则集的方式执行将最小化执行时间。

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  • This effectively means that the client cache must check periodically to see if anything in the persistent rule data store has changed.

    这实际上意味着必须定期检查客户机缓存,查看持久性规则数据存储中的任何内容是否已经更改。

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  • Picking a standard is crucial to amassing a well-curated pile of data, but more than 100 widely used rule sets exist.

    对于集合大量组织化数据来说,标准选择异常关键,但现在被广泛使用的规则集合有100多个。

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  • There is no golden rule on what method would best suit a certain data movement.

    对于哪种方法最适合某项数据转移任务,并没有绝对的规定。

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  • A business rule evaluates the data from the order form to determine whether the order can be automatically approved or whether it needs human approval.

    业务规则对订单中的数据进行评估,然后确定订单是可以自动被批准还是需要人工批准。

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  • The most important rule is that all data must be checked before it's used.

    最重要的规则是所有的数据必须在使用之前被检查。

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  • A content resource that defines data to be displayed (via an action rule).

    内容资源,它定义要显示的数据(通过操作规则)。

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  • Validations methods: validate data conforming to business rule.

    验证方法:验证数据是否符合业务规则。

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  • As a general rule, data that is written toward its center has faster seek times than data written on the outer edge.

    作为一般规则,靠近中央的数据要比靠近外边缘的数据具有更快的寻道时间。

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  • "Transformations", when service messages do not have the same data format - which is rule rather than exception.

    “转换”,发生在服务消息没有相同数据格式的时候——这是惯例而非意外。

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  • On the other hand, columnar rules may require that the data be sorted first before the rule itself can even be evaluated.

    另一方面,柱状规则要求在规则本身可评估之前,首先要存储数据。

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  • There will be situations when you will need to allow the user to store custom data for a rule, category, or provider (analysis elements).

    当您需要允许用户存储一个规则,目录,或者供应者(分析元素)时会出现一些情形。

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  • There will be situations when you will need to allow the user to store custom data for a rule, category, or provider (analysis elements).

    当您需要允许用户存储一个规则,目录,或者供应者(分析元素)时会出现一些情形。

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