数据挖掘在水环境分析信息化中的应用

Application of Data Mining in Water Environment Analyses

介绍了数据挖掘的基本概念及应用背景,讨论了作为复杂巨系统的水环境分析系统的信息特性及其不确定性,建立基于水流历史数据的未来水质指标预测的模型,传统的基于数学建模方法的局限性决定其无法解决这些难题;对应用数据挖掘技术处理水环境分析系统的某些具体问题进行了分析。

Basic concepts and application background of data mining are introduced. As a complex giant system, the information attributes and uncertainty of Water Environment Analyses are discussed. Setup a model for forecasting the Water Quantity index in future base on flow historical date. Limitations of Traditional mathematics methods make it impossible to solve these problems. Data mining application in Water Environment Analyses is analyzed.