Title :
Experiments in applying advanced data mining and integration to hydro-meteorological scenarios
Author :
Ladislav Hluchý;Ondrej Habala;Peter Krammer;Martin Šeleng;Viet Tran
Author_Institution :
Institute of Informatics of the Slovak Academy of Sciences, Dubravska cesta 9, 84507 Bratislava, Slovakia
fDate :
6/1/2011 12:00:00 AM
Abstract :
We present the results of applying advanced data integration and data mining (DMI) technology, developed in the FP7 project ADMIRE, to a set of hydro-meteorological pilot scenarios. The DMI technology includes a data processing architecture and its implementation by a set of tools, and a new DMI process definition language called DISPEL. It is based on the popular OGSA-DAI framework. The pilot scenarios were defined by hydrological and meteorological experts and their aim is to try predict hydro-meteorological processes in cases, where standard physical models for the chosen geographical domain are not present, or give unsatisfactory results. The obtained results show that the application of ADMIRE DMI technology is beneficient to the domain experts.
Keywords :
"Data mining","Data models","Predictive models","Radar imaging","Temperature measurement","Reservoirs"
Conference_Titel :
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
Print_ISBN :
978-1-4244-8352-5
DOI :
10.1109/ICSDM.2011.5969047
