Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

ETL Process Design and Quality Control Research Based on Radar Spatial Data

Authors
Xuejun Chen1
1Key Laboratory of Western China’s Environmental Systems(Ministry of Education)& College of Earth and Environment Sciences,Lanzhou University
Corresponding Author
Xuejun Chen
Available Online October 2007.
DOI
10.2991/iske.2007.69How to use a DOI?
Keywords
Radar Spatial Data; ETL; Dynamic Incremental Rule Engine; ISTDW
Abstract

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.

Copyright
© 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/).

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Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
10.2991/iske.2007.69
ISSN
1951-6851
DOI
10.2991/iske.2007.69How to use a DOI?
Copyright
© 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  - 10.2991/iske.2007.69
ID  - Chen2007/10
ER  -