Experiments in applying advanced data mining and integration to hydro-meteorological scenarios

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 pro...

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Bibliographic Details
Main Authors: Hluchy, L., Habala, O., Krammer, P., Seleng, M., Tran, V.
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Data models
Predictive models
Radar imaging
Reservoirs
Temperature measurement
Online Access:Request full text
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Summary: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.
DOI:10.1109/ICSDM.2011.5969047