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增量数据的英文

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"增量数据"怎么读用"增量数据"造句

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  • incremental data

例句与用法

  • The incremental data mining algorithm based on association rules
    一种基于关联规则的增量数据挖掘算法
  • At last , the steps for data super addition are shown by a case study
    最后给出一个实例来说明如何实现增量数据的追加。
  • The volume of incremental data changes might be low , but the volume of data initially distributed might be high
    增量数据更改的量可能很小,但初始分发的数据量可能很大。
  • It applies the initial snapshot to the subscriber and moves and reconciles incremental data changes that occur
    它将初始快照应用于订阅服务器,并移动和协调所发生的增量数据更改。
  • Temporal database of land use was used to manage increment data in effect and to retrieve the historical data of land use by the method of plot flow
    土地利用时态数据库能有效地管理增量数据,按“图元流动”的方法可实现土地利用数据的历史回溯。
  • If the table was not empty before the bulk import operation , the cost of revalidating the constraint may exceed the cost of applying check constraints to the incremental data
    如果在大容量导入操作之前表不为空,则重新验证约束的开销可能超过对增量数据应用check约束的开销。
  • If the table was nonempty before the bulk import operation , the cost of revalidating the constraint may exceed the cost of applying check constraints to the incremental data
    如果在大容量导入操作之前表为非空状态,则重新验证约束的开销可能超过将check约束应用于增量数据的开销。
  • This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision , the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database , the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory , the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize
    本文从系统工程进行决策分析的角度出发,借助数据挖掘技术中粗糙集的基本理论,在智能决策框架的指导下,研究了基于数据挖掘的智能决策理论及方法。主要理论包括:如何利用粗糙集对典型的决策系统即相容性决策系统和不相容性决策系统运用不同的数据挖掘方法进行有效的数据约减和规则提取;在增量动态的数据库环境下讨论了在典型决策系统中对原始数据和增量数据进行数据约减的方法;分析了带有优先权属性的粗糙集数据挖掘方法;以基本粗糙集为基础探讨了粗糙集扩展模型的数据分析方法;研究了粗糙集数据预处理方法。
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