Title :
Advanced Data Integration and Data Mining for Enviromental Scenarios
Author :
Ladislav Hluchy;Peter Krammer;Ondrej Habala;Martin eleng;Viet Tran
Author_Institution :
Inst. of Inf., Slovak Acad. of Sci., Bratislava, Slovakia
Abstract :
The use of data mining techniques in environmental applications of IT, and specifically in hydro-meteorological predictions, is not a new topic. In this paper however we present the novel use of data mining in the ADMIRE Project and its scenarios. In Orava scenario we try to predict the change of water level and water temperature in the OravaRiver below the Orava reservoir, and how they react to discharge from the reservoir. In second scenario - Radar, we are predicting rainfall in short term. The last scenario - SVP, is modeling situation of melting snow and caused inflow into reservoir.
Keywords :
"Predictive models","Data mining","Data models","Radar imaging","Temperature measurement","Atmospheric modeling"
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on
Print_ISBN :
978-1-4244-9816-1
DOI :
10.1109/SYNASC.2010.67