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单词 data-mining
释义
  • data-mining

    • 英?[de?t?]
    • 美?[ma?n??,d?t?]

    释义

    • 数据挖掘
  • 实用场景例句

    • 全部

    Data mining is to extract knowledge from information.

    资料开采是从各种资讯中获得知识.

    辞典例句

    It generally was divided into descriptive data mining and predictive data mining.

    一般将数据挖掘分为描述数据挖掘和预测数据挖掘两大部分.

    互联网

    Here the author emphasizes non - linear neural networks used to data mining.

    作者在文中重点论述了用于数据开采的非线性神经网络.

    互联网

    Utilize fact based analysis, data mining , and lean - 6 - sigma skills to achieve this.

    利用基于事实的分析 、 数据 、 精益6西格玛实现.

    互联网

    Data Mining. You've probably heard of it. Or maybe you've heard of data warehousing.

    数据挖掘, 你可能已经听说过, 或者你可能听说过数据仓储.

    互联网

    Data Mining is acquire and mine knowledge from mass data.

    数据挖掘就是从大量的数据中提取或挖掘知识.

    互联网

    This topic in development uses data warehouse and data mining technology.

    本课题在开发中使用数据仓库及数据挖掘技术.

    互联网

    The genetic algorithm plays an important role in area of data mining.

    遗传算法在数据挖掘中有着重要的地位.

    互联网

    Mining association rules is an important topic in the data mining research.

    关联规则采掘是数据采掘中重要的研究课题.

    互联网

    Clustering is an efficient method of data mining and text mining.

    聚类是一种有效的数据挖掘和文本挖掘方法.

    互联网

    However, the datasets which data mining search always contain missing data.

    然而, 现实世界中的数据集往往不可避免地含有一些缺失数据(MissingData).

    互联网

    Association rule mining is an important task of data mining.

    关联规则是数据开采的重要研究内容.

    互联网

    Clustering or segmentation of data is an important data mining application.

    数据聚类或分割就是其中的一种重要的数据发掘应用.

    互联网

    The algorithm will have important application in high attribute dimensional data mining.

    该方法将在高属性维稀疏数据挖掘中起重要的作用.

    互联网

    Data mining technique is briefly introduced in the paper.

    摘要文章简要介绍数据挖掘技术.

    互联网

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