ETL Process Design and Quality Control Research Based on Radar Spatial Data
- https://doi.org/10.2991/iske.2007.69How to use a DOI?
- Radar Spatial Data; ETL; Dynamic Incremental Rule Engine; ISTDW
In order to study nowcasting operations using spatial data mining, a spatial data warehouse must be built via ETL process to store radar spatial data reflects strong convection weather. Also, the quality control of radar spatial data in the ETL process, which directed at weather station observed data and radar spatial data. based on dynamic incremental rule engine(DIRE) and ISTDW method. The experimental result demonstrates that DIRE can effectively uncover the abnormal value in radar data and that ISTDW can estimate the absent values in radar data via interpolation with the tolerance of errors.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xuejun Chen PY - 2007/10 DA - 2007/10 TI - ETL Process Design and Quality Control Research Based on Radar Spatial Data BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 409 EP - 414 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.69 DO - https://doi.org/10.2991/iske.2007.69 ID - Chen2007/10 ER -