DocumentCode
183089
Title
Data mining in hydrological domain
Author
Krammer, Peter ; Habala, Ondrej ; Hluchy, Ladislav ; Tothova, Katarina
Author_Institution
Inst. of Inf., Bratislava, Slovakia
fYear
2014
fDate
19-21 Aug. 2014
Firstpage
725
Lastpage
728
Abstract
Hydrological domain provides several interesting tasks with strong practical applications. The domain also generates broad data set, which contains patterns or relations. But the data set contains errors with significant stochastic characteristics; So, the data mining techniques with statistical approach are excellent tools for hydrological tasks solving. Presented paper is focused on water consumption modelling and prediction, which could be applied in several tasks, for example in hydrological scheduling system.
Keywords
data mining; geophysics computing; hydrology; stochastic processes; data mining; data set; hydrological domain; hydrological scheduling system; hydrological tasks solving; statistical approach; stochastic characteristics; water consumption modelling; water consumption prediction; Data mining; Numerical models; Predictive models; Regression tree analysis; Reservoirs; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4799-5147-5
Type
conf
DOI
10.1109/FSKD.2014.6980925
Filename
6980925
Link To Document