databases,databases,databases是什么意思,databases怎么读,databases的用法
创始人
2024-09-17 20:20:41
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databases
[ˈdeitəbeisiz]
  • n.

    资料库( database的名词复数 );数据库;(贮存在计算机中的)数据库;

  • 双语释义

    n.(名词)
    1. [C](储存在计算机中的)数据库,资料库 an organized set of data that is stored in a computer and can be looked at and used in various ways

    英英释义

    database

    • n.an organized body of related information

    词组短语

    database system数据库系统;资料库系统

    database management数据库管理,资料库管理

    relational database关系数据库

    database management system数据库管理系统

    distributed database[计]分布式数据库

    database server数据库服务器;资料库伺服器

    database access数据库存取

    network database网络数据库;网状式资料库

    database file数据库文件

    database software数据库软件;资料库软体

    computer database计算机数据库

    database engine数据库引擎;资料库引擎

    database administrator数据库管理员;数据库管理程序

    database administration数据库管理;资料库管理

    design database设计数据库

    database schema数据库模式;数据库架构

    database manager数据库管理器

    database size数据库大小

    database record资料库记录

    introduction to database数据库概论

    更多收起词组短语

    双语例句

    用作名词(n.)
    1. Can you set up a database?
      你能建一个数据库吗?
    2. This database is only accessible by the authorized manager.
      只有授权的管理员才可以访问此数据库。
    3. The database is updated monthly.
      数据库每月更新。
    4. The information is stored on a large database.
      信息储存在巨大的数据库中。

    权威例句

    ...rules between sets of items in large databases
    Mining Assocation Rules between Sets of Items in Large Databases
    Mining Association Rules Between Sets of Items in Large Databases, SIGMOD Conference
    UCI repository of machine learning databases
    Uci repository of machine learning databases
    UCI Repository of machine learning databases
    A density-based algorithm for discovering clusters in large spatial Databases with Noise
    Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases.
    Probability-based protein identification by searching sequence databases using mass spectrometry data.
    Fast Algorithm for Mining Association Rules in Large Databases

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