Figure 2 illustrates this concept along with the method of data reduction.
图2介绍了这个概念，以及精简数据的方法。
A common solution is data reduction, whereby the source data is reduced to require less physical space.
一个常见的解决方案就是数据简缩，即通过减少源数据来降低物理空间需求。
There are some gains to be had here, but don't expect the same data reduction ratios that you'll see in backup operations; 2.5X to 3X is typical.
在主存储上使用重复数据删除也会有成效，但却不要期望可以达到像备份实施时典型的2.5倍到3倍的比例这样高的数据压缩比。
Although Hadoop is the core of data reduction for some of the largest search engines, it's better described as a framework for the distributed processing of data.
尽管Hadoop是一些大型搜索引擎数据缩减功能的核心部分，但是它实际上是一个分布式数据处理框架。
This layer implements a variety of features, such as replication and data reduction, over the traditional data-placement algorithms (with consideration for geographic placement).
该层通过传统的数据放置算法（考虑地理布局）实现各种功能，比如复制和数据简缩。
Attribute oriented generalization (AOG) can be used in data reduction.
面向属性的归纳(AOG)可以用于数据简化。
Data pre-processing, data reduction, feature selection, and feature transformation.
数据预处理，数据压缩，特征选择与特征变换。
The process of SANS measurement, and the raw data reduction, is relatively complicated.
中子小角散射实验测量和原始数据的处理方法相对较复杂。
In this thesis, data reduction and the reduction of attributes is discussed and studied.
本论文对数据缩减技术以及属性维的数据缩减技术进行了初步的探讨和研究。
In this paper, the observation principle and data reduction method of HIPPARCOS are described.
本文主要描述依巴谷卫星的光学观测原理，资料处理方法。
Methods of data cleaning, data integration and transformation, and data reduction are discussed.
讨论数据清理、数据集成和变换、数据归约的方法。
This tab sets the parameters for the object detection, reference star matching, and data reduction.
本标签栏用来设置有关目标检测，参考星匹配以及天文数据归算的有关参数。
Before handling the reconstruction of human model based on 3d scanning data, data reduction was used.
以三维扫描数据为基础进行的人体重构，需要先进行数据精简。
This section is used to select the source of the reference stars used during the data reduction process.
本选项将用来指定用以进行天文数据归算的参考星对应星表。
Physical principle of LPS technique, testing equipment, testing method and data reduction are described.
简述了LPS技术的应用原理、实验设备、实验方法和数据处理方法。
The proposal of data reduction is to make data sets smaller but preserves classification structures of interest.
数据简化的目的是简化数据集并保留有用的分类结构。
Flow field calibration error will effect the uncertainty of the experimental data through data reduction process.
风洞流场校测误差通过试验数据处理而影响试验数据的不确定度。
This paper proposes an algorithm of data reduction based on asymmetric gridding in connection with the vast amount of point data.
针对点云数据量大的特点，提出了基于非均匀网格的点云数据缩减算法。
How to identify effectively PS from SAR images is one of the crucial procedures in data reduction of the PS interferometric system.
永久散射体的有效识别是干涉系统中的一个关键环节。
The image data reduction part (04A) reduces the given image data at a predetermined reduction rate to generate a reduced image data.
图像数据缩小部分（04A）以预定缩小率来缩小所述给定图像数据，以便生成缩小后的图像数据。
The research of exact and effective data reduction algorithms based on Rough Set has greatly theoretical value and realistic meaning.
因此研究准确、高效的约简算法具有极大的理论价值和现实意义。
Present an algorithm based on mesh processing to merge multi-sensor data. Use distance method and cube method to realize point data reduction.
提出了一种基于网格处理的算法实现多传感器数据统一，并使用了间距和立方体两种点数据精简算法。
A standard PC is used for logic control, data reduction and for operator interface, allowing tests to be performed with state-of-the-art technology.
标准的个人电脑用于逻辑控制、数据压缩和操作员界面，允许使用先进的技术进行测试。
The test mechanism for measuring pitching damping derivatives and data reduction equations for obtaining pitching dynamic derivatives have been outlined.
本文叙述了测量俯仰阻尼导数的试验装置及其数据处理方程。
The prime concept of software testing is presented, then introduces the prime concept of rough set theory and the data reduction method based on rough set.
文中首先阐述了软件测试相关的基本概念，然后介绍了粗糙集理论基本概念和基于粗糙集理论的数据约简。
A new, lossy data reduction method based on information theory is described in this paper, which overcomes problems associated with other data reduction methods.
在经典信息论的基础上，提出了一种新型的有损数据简约算法，该算法克服了其它数据简约算法的不足。
Rough sets theory provides a framework in which indiscernibility relations and Boolean reasoning form a foundation for data reduction and decision rule generation.
粗糙集理论的概念性框架之一就是利用不可分辨关系和布尔推理作为数据约简和获取决策规则的基础。
In most cases data reduction has very little performance impact when data is simply being accessed or read, the heavier workload being when it first needs to be optimized.
在大多数情况下，当数据只是被访问或被读取时，数据缩减给性能带来的影响非常小；当数据首次需要优化时，工作负载比较大。
In most cases data reduction has very little performance impact when data is simply being accessed or read, the heavier workload being when it first needs to be optimized.
在大多数情况下，当数据只是被访问或被读取时，数据缩减给性能带来的影响非常小；当数据首次需要优化时，工作负载比较大。
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