Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.
将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。
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。
One is all the preprocessing and transforming of the data into the proper view for analysis.
一是把数据预处理并转换成适当视图用以分析的所有操作。
Attribute reduction is one of important step in preprocessing of data mining, it improves the efficiency of the data mining algorithm by reducing the dimensions of the information.
属性约简是数据挖掘预处理中非常重要的一步，它通过减少信息的维数提高数据挖掘算法的效率。
In the data mining or machine learning field, a data preprocessing procedure is often needed to eliminate errors, noises, in-consistent data or missing data that are contained in the dataset.
在数据挖掘以及机器学习等领域，都需要涉及一个数据预处理过程，以消除数据中所包含的错误、噪声、不一致数据或缺失值。
Rough Sets theory has great superiority in Data Preprocessing because of its particular expression of knowledge, as well as it makes an effective means of knowledge Discovery in Database.
粗糙集理论由于其独特的知识表示方法在数据预处理方面有着得天独厚的优势，同时也成为数据库中知识发现的有效手段。
The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.
知识发现的过程包括时间序列数据预处理、属性约简和规则抽取三部分。
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。
Data preprocessing is the key to provide high quality data for exam analysis system.
数据预处理是为考试分析系统提供高质量数据的关键。
A kind of model data and the preprocessing method for the logic circuit test generation system (TGS) are presented.
讨论了逻辑电路测试生成系统(简称TGS)中使用的一种模型数据及预处理方法。
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 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。
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 design and the construction of a data acquisition and preprocessing system for a helicopter rotor test rig are described.
介绍了某直升机旋翼试验台的振动数据采集和预处理系统的设计和组成。
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。
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。
It includes preparation and selection of data, preprocessing, selection and implementation of mining algorithms, postprocessing of mining results, etc.
它包括数据的准备与选择、数据的预处理、挖掘算法的选择与实现、挖掘结果的后处理等步骤。
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。
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 technique may have a direct influence on the data mining effect.
而数据预处理技术的好坏直接影响数据挖掘的结果。
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。
Therefore, such tools as spatial filtering etc. are essential to perform preprocessing of the input data.
因此，有必要采用空间滤波等手段，对输入数据进行预处理。
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。
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。
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。
It first describes the data cleaning and data selection briefly, then discusses the data preprocessing and data representation as detail as possible, at last, introduces the data set management.
首先简要介绍数据清洗与选择的基本方法，然后详细论述数据预处理、数据表示和数据集管理等方面的问题。
It first describes the data cleaning and data selection briefly, then discusses the data preprocessing and data representation as detail as possible, at last, introduces the data set management.
首先简要介绍数据清洗与选择的基本方法，然后详细论述数据预处理、数据表示和数据集管理等方面的问题。
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