• Domain experts, who provide business domain knowledge for the data warehouse design.

    领域专家,为数据仓库设计提供业务领域知识。

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  • Data mining is the science of extracting such knowledge from large amounts of data.

    数据挖掘是从大量的数据中萃取知识的一种科学。

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  • Prior application knowledge based on the data model can be a good place to start.

    先前基于数据模型的应用程序知识便是很好的起点。

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  • Now you need to add that data to the knowledge base.

    现在需要把这些数据添加到知识库中。

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  • Properly cleaning up customer data requires the knowledge of each individual customer.

    正确地清理客户数据需要工作人员非常了解每个客户的情况。

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  • With this knowledge, the correct data elements can be identified and analyzed.

    掌握了这些信息之后,就可以识别和分析正确的数据元素。

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  • This indicates whether there is any knowledge base for understanding of the data element.

    这表明是否具有理解数据元素的知识库。

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  • For a user without any real knowledge of his data, this might be difficult.

    若用户对其数据知之甚少,这可能会很困难。

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  • Decision makers need to convert large volume of data into valuable information and knowledge.

    决策者迫切需要将海量数据转换成有价值的信息和知识。

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  • A knowledge of statistics is required for the analysis of data.

    要做资料分析,具备统计学的知识是必要的。

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  • Data Mining is the process of extracting hidden knowledge from large volumes of raw data.

    数据挖掘是从大量原始数据中抽取隐藏知识的过程。

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

    译:表现准则:将知识包入数据,程序可以笨拙和健壮。

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  • People generally take original data as the a resource of the knowledge.

    通常人们把原始数据看作是知识的源泉。

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  • Rich Miller is editor of Data Center knowledge knowledge.

    瑞奇·米勒是《知识数据中心》的编辑。

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  • Data mining, also known as knowledge discovery in databases.

    数据采掘,也称数据库中的知识发现。

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  • I have enough knowledge to input data to the screen.

    我有足够知识输入资料到屏幕。

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  • Rich Miller is editor of Data Center Knowledge.

    里奇·米勒是《数据中心知识》的编辑。

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  • Will produce different kind of knowledge in different data mining task.

    不同的数据挖掘任务会产生出不同类型的知识。

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  • Data mining technology can find some valuable knowledge from large amounts of data.

    数据挖掘技术可以从大量的数据中发现某些有价值的知识。

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  • Second, data need to be integrated to construct a disease knowledge network.

    第二,数据需要进行整合以重建一个疾病知识网络。

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  • Data mining is a process of inferring knowledge from such huge data.

    数据挖掘就是从海量数据中推断出知识的过程。

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  • And I'd say this knowledge is over-fitting to past data.

    我认为这方面的知识过适于过去的数据。

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

    表示原则:将知识叠入数据以求逻辑质朴和健壮。

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  • At the same time, Data mining has unique advantage in unknown knowledge acquisition.

    而数据挖掘技术在未知知识获取方面具有独特的优势。

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  • It has an overwhelming advantage in handling massive data and Knowledge Discovery.

    它在处理海量数据,知识发现方面具有其他技术不可比拟的优势。

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  • In order to build new knowledge, various sources of biological data must often be combined.

    为了构建新的知识,生物学数据的多种来源常常必需被整合。

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  • The fourth chapter simply introduces hard disk knowledge and general method of data recovering.

    第四章简单介绍了硬盘存储器的知识,并对数据恢复的一般方法进行阐述。

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  • The fourth chapter simply introduces hard disk knowledge and general method of data recovering.

    第四章简单介绍了硬盘存储器的知识,并对数据恢复的一般方法进行阐述。

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