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。
In the whole process of data mining, it is no doubt that data preprocessing is a key step because satisfactory results can only be obtained by using reliable and accurate data.
在数据挖掘的整个过程中，数据预处理无疑是非常关键的一个步骤，因为只有采用了可靠、准确的数据才能得到比较满意的挖掘结果。
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。
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。
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。
In this paper, some new approach for data preprocessing is proposed ac-cording to the collected sample data.
针对所采集的样本数据提出几个新的数据预处理方法。
To deal with these problems, an architecture design of education data preprocessing based on Meta data is provided.
通过对教学数据预处理中的问题进行全面分析，设计了基于元数据的教学数据预处理方法。
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。
A new logistics oriented work flow of data preprocessing is proposed, based on the problems existed in spatial data of logistics.
针对物流中空间数据存在的问题，提出一种面向物流的数据预处理工作流程。
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。
Classify the log file data and prepare for later data analysis, in the case of a large number of log data and based on data preprocessing rules.
在大量日志数据情况下，依据数据预处理的规则，把日志文件的数据内容分类，为后面的数据分析做好准备。
The main contributions of this paper are listed as follows:(1) Applied the data preprocessing method to obtain the effective protein peak clusters.
具体工作可以总结为以下几个方面：（1）通过数据预处理方法从原始质谱数据中提取有效的蛋白峰簇。
The variable selection, data preprocessing and model structure of power load forecasting, and their effects on forecasting precision are discussed.
着重论述了电力负荷预测中建模变量的选择、数据的预处理方法、模型的拓扑结构及其对预测精度的影响。
Finally, after extracting and adjusting the spot and background intensity information, data preprocessing is carried out by using the scatter plot and the ma plot.
最后，在数据提取方面，对基因芯片图像的靶点信号强度与背景信号强度进行了提取与校正，并且运用散点图与MA图对数据进行了预处理。
Chapter 3 introduces the processes of data preprocessing, they are data cleaning, user identification, user session identification, path supplement and data formatting.
第三章探讨了数据预处理的流程，即数据清理、用户识别、用户会话识别、路径补充和数据格式化。
Taking concrete chips and practical interface circuits for example, this paper discusses the problems of data preprocessing that generally exist in digital control system.
本文以具体的芯片、实用的接口电路为例，讨论了数字控制系统中普遍存在的数据预处理问题。
Mathematical statistic methods of rock mechanics parameters are studied, mostly including abnormal data preprocessing, random-fuzzy method, test on probability distributing.
研究了力学参数的数理统计方法，主要包括力学参数异常数据预处理、随机-模糊处理方法和力学参数的概型检验。
The data preprocessing is one of important steps in data mining, we won't get such high level result of data mining unless we have pretreated the data into an easy-to-go one.
数据预处理是数据挖掘中的一个重要步骤，只有把要进行挖掘的数据预处理成便于挖掘的形式，才能从海量的数据中得到高质量的挖掘结果。
The thesis firstly presents the overall identity authentication system design, including the levels of data acquisition, data preprocessing, data analysis, and user management.
本文首先介绍了基于击键特征的身份鉴别系统的设计，该系统包括数据采集、数据预处理与分析、用户管理等多个层次。
GPS data preprocessing is a very important step in precise positioning, whether or not preprocessing is done well, will affect final positioning accuracy and reliability directly.
GPS数据预处理是GPS精密定位数据处理中极其重要的一步，预处理质量的好坏直接影响最终的定位结果。
Raw data preprocessing, the size of training data, as well as the size of input vectors have been studied separately, to find out the best parameter set of BP neural network prediction.
本文分别针对数据的预处理、训练数据集大小以及输入向量的大小分别进行了研究，以确定使用BP神经网络预测的一个最佳参数组合。
Raw data preprocessing, the size of training data, as well as the size of input vectors have been studied separately, to find out the best parameter set of BP neural network prediction.
本文分别针对数据的预处理、训练数据集大小以及输入向量的大小分别进行了研究，以确定使用BP神经网络预测的一个最佳参数组合。
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