Design of ETL Process on Spatio-temporal Data and Study of Quality Control
In order to use the space-time data mining technology to conduct op-eration research in WuLiangSuHai Eutrophication, the water quality sensor pa-rameters of heterogeneous data which reflect the characteristics should set up a spatial data warehouse through ETL process, and water quality sensors for qual-ity control of spatial and temporal data plays a vital role in building an effective analytical environment. The paper designs the ETL process from the data and water quality sensors artificial duty and other heterogeneous data sources spa-tial data, and proposes data quality control strategy based on the incremental frequency rule engine and the space the inverse distance weighting on the Combination. Experiments show that the incremental frequency rule engine could more effectively find the missing sensor data and abnormal, Space in-verse distance weighting method can find the missing data and outliers in the errors within the allowed interpolation processing, ETL procedure is effective and feasible.
Sensor data Frequency increment rule engine Inverse distance weighted method
Buyu Wang Changyou Li Xueliang Fu Meian Li Dongqing Wang Huibin Du Yajuan Xing
Inner Mongolia Agricultural University, Hohhot, 010018, P.R. China Inner Mongolia Fengzhou Vocational College, Hohhot, 010018, P.R. China
国际会议
南昌
英文
487-494
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）