数据变换 meaning in Chinese
data conversion
data reduction
data transformation
transformation of data
Examples
- A structure of a c & c system for spc has been suggested . after the historical data and current data were got , the data were converted by two time and became the values obeyed the same distribution
在相似工序的基础上，用数据变换的方法，通过两次数据变换，把工序质量特征数据变换成无意义的相对值。 - Meanwhile the paper analyzes the deficiency of current transmission coding and describes a new data transformation method , base91 coding with high encoding efficiency but low data extension
论文同时分析了现有的电子邮件系统传输编码存在的缺陷，提出了一种利用编码效率高、数据扩展率低的数字数据变换方法：基数- 91编码来提高编码效率。 - Some of the areas that can require special attention are interprocess communication , packaging , intersystem communication client - server between aix and linux or solaris and linux , persistent storage because of endian - ness , data - exchange formats , and so on
需要特别注意的方面包括进程间通信、打包、系统间通信（ aix与linux ，或者solaris与linux之间的客户机-服务器） 、一致存储（出于字节次序的因素） 、数据变换格式，等等。 - The simulation on synthetic data is made and the result is discussed . 5 ) by using borland c + + builder and matlab , a semi system , i _ miner , is developed to mine association rule . it can realize other functions just as data cleaning , data transform , etc . furthermore , i _ miner is applied to an actual industry database
提出用趋势变换序列dtw距离做筛选的搜索方法，有效提高整个搜索效率，并在模拟数据库上进行仿真实验，并对实验结果进行分析和讨论； 5 )以borlandc + + builder和matlab为开发平台，设计一个进行关联规则挖掘的准系统i _ miner ，可以实现数据预处理，数据变换和关联规则挖掘等工作。 - To make the prediction values with independence of the general trend , which is changed from year to year , the load data are transformed by profiles , mean value , and variance . sofm is used for the prediction of profiles and mlp networks for prediction of daily mean and daily variance . at a result , load forecasting for 24 hours in a day can be gotten
为使预测值不受负荷逐年变化这一趋势的影响，把负荷数据变换为特征、均值和方差的形式，利用白组织竞争网络预测负荷的特征，然后利用多层感知器网络预测负荷的日均值和方差，最终实现对一大24小时负荷的预测。