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data scrubbing
[ˈdeɪtə ˈskrʌbɪŋ; ˈdætə ˈskrʌbɪŋ]

  • 数据清理

专业释义英英释义

  • 数据清理 - 引用次数:2

    Tasks of data preprocessing mainly involve attribute preprocessing, data scrubbing, data transformation, data reduction and discretization. Attribute preprocessing mainly refers to attribute construction and attribute deletion.

    本文主要是对属性和属性取值的预处理,对属性的预处理主要是指属性的删除和属性的构造,对属性取值预处理主要是进行数据清理、变换、归约和离散化。

    参考来源 - 中国科技论文在线文献的数据预处理研究

·2,447,543篇论文数据,部分数据来源于NoteExpress

Data scrubbing

  • abstract: Data scrubbing is an error correction technique which uses a background task that periodically inspects memory for errors, and then corrects the error using a copy of the data. It reduces the likelihood that single correctable errors will accumulate; thus, reducing the risk of uncorrectable errors.

以上来源于: WordNet

双语例句权威例句

  • Listing 1 shows some samples after some cleanup and data scrubbing.

    清单1显示了进行一些清理数据清除之后的一些示例

    youdao

  • Data from diverse sources must be fused together, then put through a process known as scrubbing.

    来源不同的各种数据必须先攒到一起然后再进行筛选,这就是刷去的过程。

    youdao

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