One of the steps of data preprocessing is dimensionality reduction.
维数约简是数据预处理的步骤之一。
A method of data preprocessing based on scattered point cloud was proposed.
提出了一种基于散乱点云的数据预处理方法。
A data preprocessing method based on multi continuous attribute discretization.
基于多连续属性离散化的数据预处理方法。
Mass data; EEG; Hierarchical map; Data preprocessing; Neural network; Epilepsy.
海量数据；脑电图；分层递阶图； 数据预处理；神经网络；癫痫。
Discretization of numeric attribute is an important role of data preprocessing.
连续属性的离散化是数据预处理的重要工作。
Methods the data were analyzed with the database and data preprocessing technology.
方法采用数据库及数据预处理技术。
Studies the process of data preprocessing, gives the key technologies and algorithms.
研究数据预处理过程，给出了关键技术和算法。
The technology as mentioned above includes message data preprocessing, decoding and checking.
提出了参数辨识技术，它包括报文数据的预处理、译码和校验三部分。
The problems relating to cluster include data preprocessing, similarity measure and cluster validity.
与聚类相关的问题的有数据预处理、相似性度量、聚类有效性等。
After data preprocessing, a regression model between calorific and ash content was founded by polynomial regression.
经预处理后的数据，运用多项式回归建立了煤炭发热量与灰分之间的回归模型。
The main role of data preprocessing is discussed and the components and methods of data preprocessing are introduced.
论述了数据预处理在数据挖掘中的重要地位，介绍了数据预处理所包含的内容和采用的方法。
Different spectral data preprocessing methods and spectral regions have influences on the performance of model established.
不同光谱数据预处理方法和谱区范围，影响建立定量分析模型的质量。
However, you will probably find it much more convenient to use the InfoSphere Warehouse built-in data preprocessing capabilities.
然而，您将可能发现其更便于使用InfoSphereWarehouse内置数据预处理功能。
Post processing techniques to electromagnetic field graph are studied and the Painter Algorithm with data preprocessing is given.
对电磁场图形后处理技术进行了研究，给出了数据预处理画家算法。
The data preprocessing can define as the operations as followings: data cleaning, data integration, data conversion, data reduction.
数据的预处理主要是进行数据清理、数据集成、数据转换、数据归约等操作。
The method research of Envisat-1 ASAR data preprocessing includes radiometric calibration, geometrical correction and speckle reduction.
主要的研究内容如下：(1)ASAR数据预处理方法研究，包括辐射定标、几何校正和斑点噪声的去除。
The algorithm presents a clear and precise membership function for every cluster after data preprocessing by traditional grid partition.
在定义隶属度函数前先做网格划分，形成数据簇的基本形状，并提供真实的参数信息参与此后的隶属度函数定义。
Data preprocessing is a critical step in the data mining as a whole process and it has vital impact on the success of a data mining project.
数据预处理在数据挖掘项目中有着举足轻重的作用，是数据挖掘整个过程的关键步骤之一。
This thesis discusses the question of data reinforce and continuous feature discretization which is based upon data preprocessing of rough set.
本文对基于粗集的数据预处理中数据补齐和连续属性离散化问题进行讨论。
This paper gives a brief description of softwares for multiprogramming operation and data preprocessing by means of a single-user microcomputer.
本文简要阐述了一套利用单用户微机，实现多程序分时并行和观测数据的预处理程序。
The image data preprocessing of remote sensing satellite includes data catalogue, archive management, browse and query, product generation, etc.
遥感卫星图像数据的预处理包括数据编目、档管理、览查询和产品生产等部分。
Data preprocessing is to treat these redundant information such as data purifying, user recognition, session recognition and pathway complement.
数据预处理就是处理这些冗余信息，经过数据净化、用户识别、会话识别、路径补全操作后得到能够用于挖掘的数据。
The novel commercial data mining system presented in this paper include three parts: data preparation, data preprocessing, mining and evaluation.
本文提出的商业数据挖掘系统包括数据准备层、数据预处理层、挖掘评价层三个层次。
Dimensionality reduction algorithms, as the key technologies of data preprocessing in intelligent recognition, have been used successfully recently.
近年来降维方法作为智能识别中关键的数据预处理技术得到了较为成功地运用。
And considered that today's map conflation should include data preprocessing, map alignment, feature matching and checking, user interaction, data transferring.
并认为目前的地图合并流程一般主要包括五个过程：数据预处理、地图对准、同名实体匹配及检验、人工交互、数据合并。
Paper introduces the designations of system circuitry, functions, images acquisition circuits and data preprocessing algorithm and processing flowchart in details.
论文详细介绍了系统电路结构设计、功能设计、图像采集电路的实现，以及指纹预处理算法的处理流程和实现方法。
In the stage I, called as data preprocessing, the support vector machines for regression (SVMR) approach is used to filter out the outliers in the training data set.
第一阶段称为所谓的资料预先处理，即使用支援向量回归来找出训练资料集中的离异点并删除之。
In the stage I, called as data preprocessing, the support vector machines for regression (SVMR) approach is used to filter out the outliers in the training data set.
第一阶段称为所谓的资料预先处理，即使用支援向量回归来找出训练资料集中的离异点并删除之。
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