data preprocessing信息详情
[计]数据预处理；资料预处理
data───n.（Data）（日）驮太（姓）；（印、葡）达塔（人名）；n.数据；资料
entry data───[计]入口数据
initial data───n.[计]原始数据
exhibitor data───参展商资料
baseline data───[统计]基线数据；基线资料；[医]基线数据
engaging data───吸引人的数据
live data───实时数据
ordinal data───[医]有序资料；[数]有序数据
bibliographical data───[法] 编目资料
A method of data preprocessing based on scattered point cloud was proposed.───了一种基于散乱点云的数据预处理方法。
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。
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。
Data processing is an important part of the system. It includes two steps: data preprocessing and error analysis.───数据处理是测量软件系统中一个重要部分，分为数据预处理和误差分析两个部分。
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 VLBI correlator is one of the key data-preprocessing device.───相关处理机是VLBI数据预处理的核心设备。
GPS-depth analysis of the data structure, Huffman coding of data preprocessing and compression algorithm, and designed to achieve.───深入分析GPS定位数据的结构，提出数据预处理方法和Huffman编码的压缩算法方案，并设计实现。
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。
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 key operation of data preprocessing is feature selection and extraction.
It includes preparation and selection of data, preprocessing, selection and implementation of mining algorithms, postprocessing of mining results, etc.
After data preprocessing a regression model between calorific and ash content was founded by polynomial regression.
Chapter 3 introduces the processes of data preprocessing, they are data cleaning, user identification, user session identification, path supplement and data formatting.
Discretization of numeric attribute is an important role of data preprocessing.
The problems relating to cluster include data preprocessing, similarity measure and cluster validity.
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.
This paper introduces the process about data preprocessing technique and the algorithm implementation.
In the process of monitoring data preprocessing step, the relative radiometric calibration do an in - depth study.