Data Mining in Hydrological Domain

被引：0

作者：

Krammer, Peter ^{[1
]}

Habala, Ondrej ^{[1
]}

Hluchy, Ladislav ^{[1
]}

Tothova, Katarina ^{[2
]}

机构：

[1] Slovak Acad Sci, Inst Informat, Bratislava, Slovakia

[2] Hydrol Inst DHI Slovakia, Bratislava, Slovakia

来源：

2014 11TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：725 / 728

页数：4

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