摘要
数据流预处理主要是在原始观测数据的基础上进行,包括对原始监测到的数据集中的缺失数据进行插补或剔除,是数据流预测过程中一个重要性环节,是数据流应用中必不可少的组成部分.数据流预处理技术可以改进监测数据流的质量,从而有助于提高其后的处理过程的精度和性能.
The preprocessing of data stream is mainly carried out on the raw data,including interpolating the missing data and excluding the useless data on the monitoring original data set.It is an important and essential part on the data stream preprocessing.Data stream preprocessing can improve the quality of monitoring data stream,and can improve the accuracy and performance of the subsequent processing.
出处
《微电子学与计算机》
CSCD
北大核心
2012年第3期55-59,共5页
Microelectronics & Computer
关键词
数据流
检测
缺失数据
data stream
monitoring
missing data
