数据挖掘技术在水文数据分析中的应用  

Application of data mining technology in hydrological data analysis

作　　者：尹涛[1] 关兴中 万定生[1] 

机构地区：[1]河海大学计算机与信息工程学院,江苏南京210098 [2]江西省水文局,江西南昌330002

出　　处：《计算机工程与设计》2012年第12期4721-4725,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(51079040);水利部"948"基金项目(201016)

摘　　要：为提高水文预测的精度,降低预测的复杂度,提出了基于数据挖掘的水文数据分析方法,建立了水文数据分析系统。该系统引入数据挖掘相关技术,以J2EE(Java 2platform enterprise edition)技术为基础,基于Oracle的数据挖掘平台ODM(oracle data mining)和商务智能平台BIEE(oracle business intelligence enterprise edition),实现了水文数据分析的简单化、智能化。最后以江西省鄱阳湖地区4个重要水文站水位历史数据为实例,建立水位数据分析模型,分析结果表明该系统所建模型误差小、预测精度高,完全满足实际应用需求。To improve the accuracy of hydrological forecasts and to lower the complexity of the forecast, an analysis method of hydrological data based on data mining is proposed. By leading in the data mining technology, based on Java 2 Platform Enter- prise Edition J2EE, Oracle data mining platform ODM, Oracle business intelligence platform BIEE, a hydrological data analysis system is constructed. The forecast comes much simpler and more intelligent. At last, the historical hydrological data of four im- portant hydrological stations of Poyang Lake regions in Jiangxi Province are used to build the water level data analysis model, the analysis result indicates that the quality of the model built by the system is good, the forecast accuracy is high, the analysis sys- tem completely meet the practical application requirements.

关 键 词：数据挖掘 水文数据分析 Oracle数据挖掘 Oracle商务智能企业平台 数据立方体 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]