Study on the Method of Data Preprocessing for QAR Data
Data preprocessing is the key to proide quality data for QAR data warehouse. Usually there are lots of missing values, duplicate records and noise data in decoded QAR data, which seriously affect the efficiency of analysis of the QAR data. To deal with these problems, an architecture design of QAR data preprocessing based on subject is provided. The idea of design aims to provide a data analysis foundation for data analysis and mining, which covers the data quality improvement and data reorganization according to different analysis themes by data extraction, stuffing the missing attribute value and integration.
QAR Data Data Preprocessing Stuff the Missing Attribute Value Data Integration
WANG Hong HUAN Xiuxia
School of Computer Science and Technology, Civil Aviation University of China, Tianjin, P.R.China, 3 School of Management, Tianjin University, Tianjin, P.R.China, 300072
国际会议
2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)
烟台
英文
1-4
2008-08-14（万方平台首次上网日期，不代表论文的发表时间）