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

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5 Author(s)
Hluchy, L. ; Inst. of Inf., Slovak Acad. of Sci., Bratislava, Slovakia ; Habala, O. ; Krammer, P. ; Seleng, M.
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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.

Published in:

Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on

Date of Conference:

June 29 2011-July 1 2011