Data Mining in Hydrological Domain

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.

作者: Peter Krammer Ondrej Habala Ladislav Hluch(y) Katarína Tóthová

作者单位: Institute of Informatics, Slovak Academy of Sciences, Bratislava, Slovakia Hydrological Institute DHI Slovakia, Bratislava, Slovakia

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 736-739

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）