Mining Environmental Data in the ADMIRE Project Using New Advanced Methods and Tools

Ondrej Habala, Martin Šeleng, Viet Tran, Branislav Šimo and Ladislav Hluchý
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Ondrej Habala: The Slovak Academy of Sciences, Slovakia
Martin Šeleng: The Slovak Academy of Sciences, Slovakia
Viet Tran: The Slovak Academy of Sciences, Slovakia
Branislav Šimo: The Slovak Academy of Sciences, Slovakia
Ladislav Hluchý: The Slovak Academy of Sciences, Slovakia

International Journal of Distributed Systems and Technologies (IJDST), 2010, vol. 1, issue 4, 1-13

Abstract: The project Advanced Data Mining and Integration Research for Europe (ADMIRE) is designing new methods and tools for comfortable mining and integration of large, distributed data sets. One of the prospective application domains for such methods and tools is the environmental applications domain, which often uses various data sets from different vendors where data mining is becoming increasingly popular and more computer power becomes available. The authors present a set of experimental environmental scenarios, and the application of ADMIRE technology in these scenarios. The scenarios try to predict meteorological and hydrological phenomena which currently cannot or are not predicted by using data mining of distributed data sets from several providers in Slovakia. The scenarios have been designed by environmental experts and apart from being used as the testing grounds for the ADMIRE technology; results are of particular interest to experts who have designed them.

Date: 2010
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