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数据抽象的英文

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"数据抽象"怎么读用"数据抽象"造句

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  • adts
  • data abstraction

例句与用法

  • A data abstraction is an entity with lifetime and behavior
    数据抽象是具有生存期和行为的实体。
  • Require a data abstraction , provided by the
    )需要数据抽象(由
  • It is written primarily in php and incorporates the adodb database abstraction layer
    它开始是用php编写的,集成了adodb数据抽象层。
  • ( 3 ) with three - tier system object - oriented programming module technique , the middle tier of system core is completely transparent , and the developers increase the code reusability by the data abstract and data encapsulation
    ( 3 )本系统设计采用三层结构的面向对象模块化设计技术,系统核心的中间层完全透明,通过数据抽象和封装,开发者可提高代码的可重用性。
  • The apia language has fully absorbed the modern programming technique of data abstraction and function abstraction . it used many traditional mathematical symbols and fitted the mathematical custom , so the correctness of the programs which were written by apia language are very easy to prove
    Apla语言充分体现了功能抽象、数据抽象等现代程序设计思想,它引入了传统的数学符号和数学表达式,用apla语言书写的程序便于形式化推导和证明。
  • Application component layer envelops the parallel algorithms of matrix - vector operation to offer users high - level interfaces ; the other three layers implement data abstraction 、 data partition and parallel mechanism respectively , and every layer has specific class and interface definition
    其中应用组件层把矩阵向量运算的并行算法封装成类组件,为用户提供了高层次的接口;另外三层分别实现数据抽象、数据划分和并行机制支持三方面功能,每一层都有具体的类组件和明确的接口定义。
  • This essay first dicussed the key steps of preprocessing in web log mining , which include data abstract , data cleaning , user and session identification and path completion etc . especialy we proposed the algorithm of the web log data preprocessing include frame page . and secondly we discussed the technology of building an adaptive web site , include log data cluster mining , user visiting pattern learning , site structure transformation and presentation etc . ; and we proposed indual user log visiting pattern , user model onling learning algorithm , index pages synthesising algorithm , site structure transformation and presentation algorithm and so on
    本论文首先讨论了web日志挖掘预处理中的各步骤:数据抽象、数据清洗、用户与会话识别、访问路径补全,给出了每一步骤的算法实现;并特别讨论了含有frame页的日志数据预处理过滤算法。其次讨论了构建自适应站点技术,包括日志数据聚类挖掘、用户访问模式学习、站点结构转化与呈现等;提出了单用户日志访问模型,给出了用户模型在线学习算法、索引页面综合算法、站点结构转化及呈现算法等。
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